Tina Eliassi-Rad

174 papers A* 22A 17B 7C 2Misc 3Journal 92Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hypergraph representations of single-cell RNA sequencing data for improved cell clustering. Bioinform. Wan He, Daniel I. Bolnick, Samuel V. Scarpino, Tina Eliassi-Rad
2026	A*	`conf`	Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations. WWW David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein
2026	J	`jnl`	When do neural ordinary differential equations generalize on complex networks? CoRR Moritz Laber, Tina Eliassi-Rad, Brennan Klein
2025	J	`jnl`	A Survey on Hypergraph Mining: Patterns, Tools, and Generators. ACM Comput. Surv. Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin
2025	—	`conf`	Accelerated Discovery of Set Cover Solutions via Graph Neural Networks. CPAIOR (2) Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres
2025	—	`conf`	Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings. KDD (2) David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
2025	J	`jnl`	CELEST: Federated Learning for Globally Coordinated Threat Detection. IEEE Trans. Inf. Forensics Secur. Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson
2025	A	`conf`	Defense Against Shortest Path Attacks. SDM Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
2025	J	`jnl`	Effects of higher-order interactions and homophily on information access inequality. CoRR Moritz Laber, Samantha Dies, Joseph Ehlert, Brennan Klein, Tina Eliassi-Rad
2025	J	`jnl`	Explaining Node Embeddings. Trans. Mach. Learn. Res. Zohair Shafi, Ayan Chatterjee, Tina Eliassi-Rad
2025	J	`jnl`	Forecasting Faculty Placement from Patterns in Co-authorship Networks. CoRR Samantha Dies, David Liu, Tina Eliassi-Rad
2025	A*	`conf`	Human-AI Coevolution (Abstract Reprint). IJCAI Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani
2025	J	`jnl`	Human-AI coevolution. Artif. Intell. Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani
2025	J	`jnl`	Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations. CoRR David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein
2025	A	`conf`	REGE: A Method for Incorporating Uncertainty in Graph Embeddings. SDM Zohair Shafi, Germans Savcisens, Tina Eliassi-Rad
2025	J	`jnl`	Representational Stability of Truth in Large Language Models. CoRR Samantha Dies, Courtney Maynard, Germans Savcisens, Tina Eliassi-Rad
2025	J	`jnl`	The Trilemma of Truth in Large Language Models. CoRR Germans Savcisens, Tina Eliassi-Rad
2025	J	`jnl`	Topology-driven negative sampling enhances generalizability in protein-protein interaction prediction. Bioinform. Ayan Chatterjee, Babak Ravandi, Parham Haddadi, Naomi H. Philip, Mario Abdelmessih, William R. Mowrey, Piero Ricchiuto, Yupu Liang, Wei Ding, Juan Carlos Mobarec, Tina Eliassi-Rad
2025	—	`conf`	When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations. FAccT David Liu, Jackie Baek, Tina Eliassi-Rad
2024	J	`jnl`	A Misclassification Network-Based Method for Comparative Genomic Analysis. CoRR Wan He, Tina Eliassi-Rad, Samuel V. Scarpino
2024	J	`jnl`	A Survey on Hypergraph Mining: Patterns, Tools, and Generators. CoRR Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin
2024	J	`jnl`	Assigning Entities to Teams as a Hypergraph Discovery Problem. CoRR Guilherme Ferraz de Arruda, Wan He, Nasimeh Heydaribeni, Tara Javidi, Yamir Moreno, Tina Eliassi-Rad
2024	J	`jnl`	Attacking Shortest Paths by Cutting Edges. ACM Trans. Knowl. Discov. Data Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
2024	J	`jnl`	Complex network effects on the robustness of graph convolutional networks. Appl. Netw. Sci. Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
2024	J	`jnl`	Distributed constrained combinatorial optimization leveraging hypergraph neural networks. Nat. Mac. Intell. Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar
2024	J	`jnl`	Generating Human Understandable Explanations for Node Embeddings. CoRR Zohair Shafi, Ayan Chatterjee, Tina Eliassi-Rad
2024	J	`jnl`	REGE: A Method for Incorporating Uncertainty in Graph Embeddings. CoRR Zohair Shafi, Germans Savcisens, Tina Eliassi-Rad
2024	J	`jnl`	Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings. CoRR David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
2024	J	`jnl`	TenGAN: adversarially generating multiplex tensor graphs. Data Min. Knowl. Discov. William Shiao, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis
2024	J	`jnl`	Using overlapping methods to counter adversaries in community detection. J. Complex Networks Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
2024	J	`jnl`	Using sequences of life-events to predict human lives. Nat. Comput. Sci. Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
2023	J	`jnl`	Complex Network Effects on the Robustness of Graph Convolutional Networks. CoRR Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
2023	J	`jnl`	Defense Against Shortest Path Attacks. CoRR Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
2023	J	`jnl`	Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction. CoRR Ayan Chatterjee, Robin Walters, Giulia Menichetti, Tina Eliassi-Rad
2023	J	`jnl`	GRASP: Accelerating Shortest Path Attacks via Graph Attention. CoRR Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee, Tina Eliassi-Rad, Rajmonda Sulo Caceres
2023	J	`jnl`	Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks. CoRR Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres
2023	J	`jnl`	HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks. CoRR Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar
2023	J	`jnl`	Modeling self-propagating malware with epidemiological models. Appl. Netw. Sci. Alesia Chernikova, Nicolò Gozzi, Nicola Perra, Simona Boboila, Tina Eliassi-Rad, Alina Oprea
2023	A	`conf`	Optimal Intervention on Weighted Networks via Edge Centrality. SDM Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
2023	J	`jnl`	Optimal Intervention on Weighted Networks via Edge Centrality. CoRR Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
2023	A	`conf`	STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core. SDM David Liu, Tina Eliassi-Rad
2023	J	`jnl`	Social AI and the Challenges of the Human-AI Ecosystem. CoRR Dino Pedreschi, Luca Pappalardo, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani
2023	J	`jnl`	Using Overlapping Methods to Counter Adversaries in Community Detection. CoRR Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
2023	J	`jnl`	Using Sequences of Life-events to Predict Human Lives. CoRR Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
2023	J	`jnl`	When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations. CoRR David Liu, Jackie Baek, Tina Eliassi-Rad
2022	J	`jnl`	A path-based approach to analyzing the global liner shipping network. EPJ Data Sci. Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad
2022	—	`conf`	Alternative Route-Based Attacks in Metropolitan Traffic Systems. DSN Workshops Sidney La Fontaine, Naveen Muralidhar, Michael Clifford, Tina Eliassi-Rad, Cristina Nita-Rotaru
2022	J	`jnl`	Attacking Shortest Paths by Cutting Edges. CoRR Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
2022	J	`jnl`	BiaScope: Visual Unfairness Diagnosis for Graph Embeddings. CoRR Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin
2022	J	`jnl`	CELEST: Federated Learning for Globally Coordinated Threat Detection. CoRR Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson
2022	—	`conf`	Cyber Network Resilience Against Self-Propagating Malware Attacks. ESORICS (1) Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
2022	J	`jnl`	Cyber Network Resilience against Self-Propagating Malware Attacks. CoRR Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
2022	C	`conf`	Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad
2022	J	`jnl`	Identifying and Mitigating Instability in Embeddings of the Degenerate Core. CoRR David Liu, Tina Eliassi-Rad
2022	J	`jnl`	Information access equality on generative models of complex networks. Appl. Netw. Sci. Xindi Wang, Onur Varol, Tina Eliassi-Rad
2022	J	`jnl`	Modeling Self-Propagating Malware with Epidemiological Models. CoRR Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
2022	J	`jnl`	Sequential motifs in observed walks. J. Complex Networks Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
2021	J	`jnl`	A Path-based Approach to Analyzing the Global Liner Shipping Network. CoRR Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad
2021	J	`jnl`	AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. CoRR Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti
2021	J	`jnl`	Collaborative Information Sharing for ML-Based Threat Detection. CoRR Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack W. Davidson
2021	J	`jnl`	Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). Dagstuhl Reports Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
2021	J	`jnl`	Information Access Equality on Network Generative Models. CoRR Xindi Wang, Onur Varol, Tina Eliassi-Rad
2021	J	`jnl`	Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad
2021	J	`jnl`	Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
2021	—	`conf`	PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
2021	J	`jnl`	PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
2021	—	`conf`	PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
2021	J	`jnl`	PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
2021	A	`conf`	POTION : Optimizing Graph Structure for Targeted Diffusion. SDM Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik
2021	C	`conf`	RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. AIES David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld
2021	J	`jnl`	RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. CoRR David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld
2021	J	`jnl`	Selective network discovery via deep reinforcement learning on embedded spaces. Appl. Netw. Sci. Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
2021	J	`jnl`	Sequential Motifs in Observed Walks. CoRR Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
2021	J	`jnl`	The Why, How, and When of Representations for Complex Systems. SIAM Rev. Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad
2020	A*	`conf`	Fighting a Pandemic: Convergence of Expertise, Data Science and Policy. KDD Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu
2020	J	`jnl`	GLEE: Geometric Laplacian Eigenmap Embedding. J. Complex Networks Leo Torres, Kevin S. Chan, Tina Eliassi-Rad
2020	A	`conf`	HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. SDM Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
2020	A	`conf`	Integrity 2020: Integrity in Social Networks and Media. WSDM Lluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas, Aristides Gionis, Tina Eliassi-Rad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou
2020	J	`jnl`	Node Immunization with Non-backtracking Eigenvalues. CoRR Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad
2020	J	`jnl`	Optimizing Graph Structure for Targeted Diffusion. CoRR Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik
2020	A	`conf`	Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the SDM Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan
2020	J	`jnl`	The why, how, and when of representations for complex systems. CoRR Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad
2020	J	`jnl`	Topological Effects on Attacks Against Vertex Classification. CoRR Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad
2020	J	`jnl`	Understanding the Limitations of Network Online Learning. CoRR Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad
2020	J	`jnl`	Understanding the limitations of network online learning. Appl. Netw. Sci. Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad
2019	—	`conf`	Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks. COMPLEX NETWORKS (1) Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
2019	J	`jnl`	Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks. CoRR Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
2019	J	`jnl`	Detecting Path Anomalies in Time Series Data on Networks. CoRR Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
2019	J	`jnl`	Geometric Laplacian Eigenmap Embedding. CoRR Leo Torres, Kevin S. Chan, Tina Eliassi-Rad
2019	A*	`conf`	Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. KDD Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock
2019	J	`jnl`	L2P: An Algorithm for Estimating Heavy-tailed Outcomes. CoRR Xindi Wang, Onur Varol, Tina Eliassi-Rad
2019	—	`conf`	Length Spectrum Theory, Non-backtracking Cycles, and Two Graph Analysis Tasks. GRADES/NDA@SIGMOD/PODS Tina Eliassi-Rad
2019	A*	`conf`	Multilevel Network Alignment. WWW Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad
2019	J	`jnl`	Non-backtracking cycles: length spectrum theory and graph mining applications. Appl. Netw. Sci. Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad
2019	J	`jnl`	On Designing Machine Learning Models for Malicious Network Traffic Classification. CoRR Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad
2019	J	`jnl`	Success in books: predicting book sales before publication. EPJ Data Sci. Xindi Wang, Burcu Yucesoy, Onur Varol, Tina Eliassi-Rad, Albert-László Barabási
2019	—	`conf`	The Responsibility Challenge for Data. SIGMOD Conference H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich
2018	B	`ed.`	5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018 DSAA Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani
2018	J	`jnl`	Graph Distance from the Topological View of Non-backtracking Cycles. CoRR Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad
2018	A*	`conf`	Measuring and Improving the Core Resilience of Networks. WWW Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan
2018	J	`jnl`	Patterns and anomalies in k-cores of real-world graphs with applications. Knowl. Inf. Syst. Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos
2018	—	`ch.`	Social Order in Online Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Tina Eliassi-Rad
2017	J	`jnl`	GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2017	—	`conf`	ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. WebSci Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
2016	A*	`conf`	CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. ICDM Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos
2016	J	`jnl`	Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash
2016	J	`jnl`	Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos
2016	A*	`conf`	Fast best-effort search on graphs with multiple attributes. ICDE Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou
2016	—	`conf`	Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
2016	B	`conf`	MaxReach: Reducing network incompleteness through node probes. ASONAM Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
2016	B	`conf`	NimbleCore: A space-efficient external memory algorithm for estimating core numbers. ASONAM Priya Govindan, Sucheta Soundarajan, Tina Eliassi-Rad, Christos Faloutsos
2016	J	`jnl`	Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2016	J	`jnl`	Some Advances in Role Discovery in Graphs. CoRR Sean Gilpin, Chia-Tung Kuo, Tina Eliassi-Rad, Ian Davidson
2016	A	`conf`	Understanding Offline Political Systems by Mining Online Political Data. WSDM David Lazer, Oren Tsur, Tina Eliassi-Rad
2015	A	`conf`	A Probabilistic Model for Using Social Networks in Personalized Item Recommendation. RecSys Allison June-Barlow Chaney, David M. Blei, Tina Eliassi-Rad
2015	B	`conf`	AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2015	J	`jnl`	APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2015	Misc	`conf`	EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. SAC Keith Henderson, Brian Gallagher, Tina Eliassi-Rad
2015	J	`jnl`	Fast Best-Effort Search on Graphs with Multiple Attributes. IEEE Trans. Knowl. Data Eng. Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou
2015	—	`conf`	Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. HICSS Véronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck, Bart Baesens
2015	A	`conf`	MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM Long T. Le, Tina Eliassi-Rad, Hanghang Tong
2015	J	`jnl`	MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. CoRR Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
2015	—	`conf`	Mining Mobility Data. WWW (Companion Volume) Spiros Papadimitriou, Tina Eliassi-Rad
2014	A	`conf`	A Guide to Selecting a Network Similarity Method. SDM Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
2014	—	`ch.`	Social Order in Online Social Networks. Encyclopedia of Social Network Analysis and Mining Tina Eliassi-Rad
2014	—	`conf`	Threatening Privacy across Social Graphs: A Structural Features Approach. ICDM Workshops Priya Govindan, Tina Eliassi-Rad, Jin Xu, Shawndra Hill, Chris Volinsky
2013	B	`conf`	Entelecheia: Detecting P2P botnets in their waiting stage. Networking Huy Hang, Xuetao Wei, Michalis Faloutsos, Tina Eliassi-Rad
2013	A*	`conf`	Guided learning for role discovery (GLRD): framework, algorithms, and applications. KDD Sean Gilpin, Tina Eliassi-Rad, Ian N. Davidson
2013	—	`conf`	Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads. LBSN Long T. Le, Tina Eliassi-Rad, Foster J. Provost, Lauren Moores
2013	A*	`conf`	Mining data from mobile devices: a survey of smart sensing and analytics. KDD Spiros Papadimitriou, Tina Eliassi-Rad
2013	B	`conf`	Network similarity via multiple social theories. ASONAM Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos
2012	J	`jnl`	Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, Tao Wang
2012	J	`jnl`	Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad
2012	A	`conf`	Gelling, and melting, large graphs by edge manipulation. CIKM Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos
2012	—	`conf`	Measuring tie strength in implicit social networks. WebSci Mangesh Gupte, Tina Eliassi-Rad
2012	J	`jnl`	NetSimile: A Scalable Approach to Size-Independent Network Similarity CoRR Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos
2012	A*	`conf`	RolX: structural role extraction & mining in large graphs. KDD Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li
2011	—	`conf`	Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) Tao Wang, Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
2011	A*	`conf`	It's who you know: graph mining using recursive structural features. KDD Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos
2011	J	`jnl`	Massively parallel acceleration of a document-similarity classifier to detect web attacks. J. Parallel Distributed Comput. Craig D. Ulmer, Maya B. Gokhale, Brian Gallagher, Philip Top, Tina Eliassi-Rad
2011	J	`jnl`	Measuring Tie Strength in Implicit Social Networks CoRR Mangesh Gupte, Tina Eliassi-Rad
2011	—	`conf`	Ranking Information in Networks. SBP Tina Eliassi-Rad, Keith Henderson
2010	—	`conf`	BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad
2010	A*	`conf`	Detecting Novel Discrepancies in Communication Networks. ICDM James Abello, Tina Eliassi-Rad, Nishchal Devanur
2010	A	`conf`	HCDF: A Hybrid Community Discovery Framework. SDM Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, Christos Faloutsos
2010	A*	`conf`	Link Homophily in the Application Layer and its Usage in Traffic Classification. INFOCOM Brian Gallagher, Marios Iliofotou, Tina Eliassi-Rad, Michalis Faloutsos
2010	—	`conf`	Literature Search through Mixed-Membership Community Discovery. SBP Tina Eliassi-Rad, Keith Henderson
2010	A*	`conf`	Metric forensics: a multi-level approach for mining volatile graphs. KDD Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
2010	A*	`conf`	On the Vulnerability of Large Graphs. ICDM Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2010	A	`conf`	Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. CoNEXT Marios Iliofotou, Brian Gallagher, Tina Eliassi-Rad, Guowu Xie, Michalis Faloutsos
2009	Misc	`conf`	Applying latent dirichlet allocation to group discovery in large graphs. SAC Keith Henderson, Tina Eliassi-Rad
2009	A*	`conf`	Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
2008	J	`jnl`	Collective Classification in Network Data. AI Mag. Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad
2008	A	`conf`	Fast mining of complex time-stamped events. CIKM Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos
2008	—	`conf`	Finding Mixed-Memberships in Social Networks. AAAI Spring Symposium: Social Information Processing Phaedon-Stelios Koutsourelakis, Tina Eliassi-Rad
2008	—	`conf`	GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad
2008	—	`conf`	Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. SNAKDD Brian Gallagher, Tina Eliassi-Rad
2008	—	`conf`	Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data. ECML/PKDD (1) Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad
2008	J	`jnl`	Two heads better than one: pattern discovery in time-evolving multi-aspect data. Data Min. Knowl. Discov. Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad
2008	A*	`conf`	Using ghost edges for classification in sparsely labeled networks. KDD Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos
2007	—	`conf`	An Examination of Experimental Methodology for Classifiers of Relational Data. ICDM Workshops Brian Gallagher, Tina Eliassi-Rad
2007	A*	`conf`	Fast best-effort pattern matching in large attributed graphs. KDD Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad
2006	—	`conf`	A Position Paper: Value of Information for Evidence Detection. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection David L. Roberts, Tina Eliassi-Rad
2006	A*	`ed.`	Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006 KDD Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos
2006	J	`jnl`	Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction. IEEE Trans. Vis. Comput. Graph. Zeqian Shen, Kwan-Liu Ma, Tina Eliassi-Rad
2005	Misc	`conf`	A hybrid approach for multiresolution modeling of large-scale scientific data. SAC Tina Eliassi-Rad, Terence Critchlow
2005	J	`jnl`	Knowledge Representation Issues in Semantic Graphs for Relationship Detection CoRR Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad
2005	—	`conf`	Knowledge Representation Issues in Semantic Graphs for Relationship Detection. AAAI Spring Symposium: AI Technologies for Homeland Security Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad
2003	J	`jnl`	A System for Building Intelligent Agents that Learn to Retrieve and Extract Information. User Model. User Adapt. Interact. Tina Eliassi-Rad, Jude W. Shavlik
2003	—	`ch.`	Intelligent Web Agents that Learn to Retrieve and Extract Information. Intelligent Exploration of the Web Tina Eliassi-Rad, Jude W. Shavlik
2003	B	`conf`	The Evolution of a Hierarchical Partitioning Algorithm for Large-Scale Scientific Data: Three Steps of Increasing Complexity. SSDBM Chuck Baldwin, Tina Eliassi-Rad, Ghaleb Abdulla, Terence Critchlow
2002	A*	`conf`	Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla. KDD Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla
2001	A*	`conf`	A Theory-Refinement Approach to Information Extraction. ICML Tina Eliassi-Rad, Jude W. Shavlik
1999	A	`conf`	An Instructable, Adaptive Interface for Discovering and Monitoring Information on the World-Wide Web. IUI Jude W. Shavlik, Susan Calcari, Tina Eliassi-Rad, Jack Solock