Chen Chen - RankMe

86 papers A* 22A 10Journal 43Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation. ACM Trans. Knowl. Discov. Data Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2026	J	`jnl`	Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing. CoRR Tianhao Huang, Guanghui Min, Zhenyu Lei, Aiying Zhang, Chen Chen
2025	A*	`conf`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025	A*	`conf`	Certified Causal Defense with Generalizable Robustness. AAAI Yiran Qiao, Yu Yin, Chen Chen, Jing Ma
2025	A	`conf`	Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. WSDM Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
2025	J	`jnl`	End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Zhen Peng, Yunfan Wang, Qika Lin, Bin Shi, Chen Chen, Bo Dong, Chao Shen
2025	—	`conf`	Fairness-Aware Graph Learning: A Benchmark. KDD (2) Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2025	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. ACM Comput. Surv. Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2025	A*	`conf`	Out-of-Distribution Generalization on Graphs via Progressive Inference. AAAI Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025	J	`jnl`	Out-of-Distribution Generalization on Graphs via Progressive Inference. CoRR Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025	—	`conf`	Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. ACL (Findings) Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025	J	`jnl`	Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. CoRR Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025	A*	`conf`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. AAAI Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	J	`jnl`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. CoRR Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	A*	`conf`	ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data. AAAI Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2025	A*	`conf`	Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models. ICML Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li
2025	A*	`conf`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. AAAI Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2025	A	`conf`	iMask: Towards a Smart Mask Network Prototype for Monitoring Respiratory Viruses. CIKM Emma Tong, Cynthia Smyser, Chen Chen
2024	J	`jnl`	A Benchmark for Fairness-Aware Graph Learning. CoRR Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2024	J	`jnl`	A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. CoRR Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2024	A*	`conf`	Adversarial Attacks on Fairness of Graph Neural Networks. ICLR Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2024	J	`jnl`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2024	J	`jnl`	Certified Causal Defense with Generalizable Robustness. CoRR Yiran Qiao, Yu Yin, Chen Chen, Jing Ma
2024	A*	`conf`	Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. KDD Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024	J	`jnl`	Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. CoRR Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. CoRR Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. Trans. Mach. Learn. Res. Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	A*	`conf`	Federated Graph Learning with Structure Proxy Alignment. KDD Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Structure Proxy Alignment. CoRR Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024	—	`conf`	Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024	J	`jnl`	Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024	J	`jnl`	Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2024	—	`conf`	PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
2024	—	`conf`	SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
2024	J	`jnl`	ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data. CoRR Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2024	J	`jnl`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. CoRR Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2023	A*	`conf`	A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. KDD Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023	J	`jnl`	A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. CoRR Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023	J	`jnl`	Adversarial Attacks on Fairness of Graph Neural Networks. CoRR Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2023	A	`conf`	Assigning Agents to Increase Network-Based Neighborhood Diversity. AAMAS Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	J	`jnl`	Assigning Agents to Increase Network-Based Neighborhood Diversity. CoRR Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	J	`jnl`	Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
2023	A*	`conf`	Federated Few-shot Learning. KDD Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	J	`jnl`	Federated Few-shot Learning. CoRR Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	A	`conf`	Few-shot Node Classification with Extremely Weak Supervision. WSDM Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023	J	`jnl`	Few-shot Node Classification with Extremely Weak Supervision. CoRR Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023	J	`jnl`	Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems. CoRR Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. CoRR Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2023	J	`jnl`	Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. CoRR Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	A*	`conf`	Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. AAAI Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	—	`conf`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023	J	`jnl`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2022	A*	`conf`	FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022	J	`jnl`	FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022	J	`jnl`	Fairness in Graph Mining: A Survey. CoRR Yushun Dong, Jing Ma, Chen Chen, Jundong Li
2022	J	`jnl`	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. CoRR Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2022	J	`jnl`	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. SIGKDD Explor. Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2022	A*	`conf`	Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. AAAI Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2022	A*	`conf`	Graph Few-shot Learning with Task-specific Structures. NeurIPS Song Wang, Chen Chen, Jundong Li
2022	J	`jnl`	Graph Few-shot Learning with Task-specific Structures. CoRR Song Wang, Chen Chen, Jundong Li
2022	A*	`conf`	Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti
2022	A*	`conf`	Task-Adaptive Few-shot Node Classification. KDD Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022	J	`jnl`	Task-Adaptive Few-shot Node Classification. CoRR Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022	A*	`conf`	When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction. SIGIR Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen, Hong Wen
2021	A	`conf`	Deconfounding with Networked Observational Data in a Dynamic Environment. WSDM Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
2021	A	`conf`	Fairness-Aware Unsupervised Feature Selection. CIKM Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
2021	J	`jnl`	Fairness-Aware Unsupervised Feature Selection. CoRR Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
2021	J	`jnl`	Fast Connectivity Minimization on Large-Scale Networks. ACM Trans. Knowl. Discov. Data Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong
2021	J	`jnl`	Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
2021	A	`conf`	REFORM: Error-Aware Few-Shot Knowledge Graph Completion. CIKM Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li
2020	—	`conf`	Unsupervised Hierarchical Feature Selection on Networked Data. DASFAA (3) Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng
2019	—	`—`	Connectivity in Complex Networks: Measures, Inference and Optimization. Chen Chen
2019	—	`conf`	Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. DASFAA (1) Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
2018	A	`conf`	Connectivity in Complex Networks: Measures, Inference and Optimization. WSDM Chen Chen
2018	A	`conf`	Multi-Layered Network Embedding. SDM Jundong Li, Chen Chen, Hanghang Tong, Huan Liu
2018	A*	`conf`	Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. KDD Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong
2017	J	`jnl`	Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective. ACM Trans. Knowl. Discov. Data Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He
2017	J	`jnl`	On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms. Stat. Anal. Data Min. Chen Chen, Hanghang Tong
2017	J	`jnl`	Towards Optimal Connectivity on Multi-Layered Networks. IEEE Trans. Knowl. Data Eng. Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
2017	—	`conf`	VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease. BIBM Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie
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`	FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. KDD Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He
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
2015	A	`conf`	Fast Eigen-Functions Tracking on Dynamic Graphs. SDM Chen Chen, Hanghang Tong
2015	A*	`conf`	On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control. ICDM Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
2009	—	`conf`	Transmission Cost of P2P Multicasting. CCNC Ting Peng, Qinghua Zheng, Weimei Lv, Shan Jiang, Haipeng Du, Chen Chen