Vassilis N. Ioannidis

85 papers A* 13A 2Misc 8Journal 50Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL. CoRR Harper Hua, Zhen Han, Zhengyuan Shen, Jeremy Lee, Patrick Guan, Qi Zhu, Sullam Jeoung, Yueyan Chen, Yunfei Bai, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala
2026	J	`jnl`	Scalable Prompt Routing via Fine-Grained Latent Task Discovery. CoRR Yunyi Zhang, Soji Adeshina, Sheng Guan, Ashwin Ganesh, Zhen Han, Vassilis N. Ioannidis, Huzefa Rangwala, George Karypis
2026	J	`jnl`	Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning. CoRR Zhi Zhang, Zhen Han, Costas Mavromatis, Qi Zhu, Yunyi Zhang, Sheng Guan, Dingmin Wang, Xiong Zhou, Shuai Wang, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala
2025	A*	`conf`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. EMNLP Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	J	`jnl`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. CoRR Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	J	`jnl`	BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation. CoRR Haoyuan Li, Zhengyuan Shen, Sullam Jeoung, Yueyan Chen, Jiayu Li, Qi Zhu, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala
2025	—	`conf`	GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models. EMNLP (Findings) Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui
2025	J	`jnl`	GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models. CoRR Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui
2025	—	`conf`	Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval. KDD (2) Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala
2025	J	`jnl`	Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval. CoRR Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala
2025	—	`conf`	HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. ACL (1) Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2025	J	`jnl`	OmniMatch: Joinability Discovery in Data Products. Proc. VLDB Endow. Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vassilis N. Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos
2025	—	`conf`	SKnow-LLM Workshop: Structured Knowledge for Large Language Models. KDD (2) Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala
2025	A*	`conf`	Spectro-Riemannian Graph Neural Networks. ICLR Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
2025	J	`jnl`	Spectro-Riemannian Graph Neural Networks. CoRR Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
2025	J	`jnl`	The Kinetics of Reasoning: How Chain-of-Thought Shapes Learning in Transformers? CoRR Zihan Pengmei, Costas Mavromatis, Zhengyuan Shen, Yunyi Zhang, Vassilis N. Ioannidis, Huzefa Rangwala
2024	A*	`conf`	AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. NeurIPS Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Y. Zou
2024	J	`jnl`	AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
2024	A*	`conf`	BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. ICLR Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
2024	J	`jnl`	Context-Aware Clustering using Large Language Models. CoRR Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy
2024	J	`jnl`	Graph Neural Networks Formed via Layer-wise Ensembles of Heterogeneous Base Models. Trans. Mach. Learn. Res. Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf
2024	J	`jnl`	HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. CoRR Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2024	A*	`conf`	NetInfoF Framework: Measuring and Exploiting Network Usable Information. ICLR Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
2024	J	`jnl`	NetInfoF Framework: Measuring and Exploiting Network Usable Information. CoRR Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
2024	A	`conf`	Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. WSDM Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra
2024	A	`conf`	Revisit Orthogonality in Graph-Regularized MLPs. CIKM Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2024	A*	`conf`	STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. NeurIPS Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Y. Zou, Jure Leskovec
2024	J	`jnl`	STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
2024	A*	`conf`	TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. SIGIR Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
2023	A*	`conf`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	J	`jnl`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	J	`jnl`	OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023	A*	`conf`	Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. ICLR Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
2023	J	`jnl`	SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks. CoRR Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra
2023	J	`jnl`	TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. CoRR Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
2023	—	`conf`	Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2023	J	`jnl`	Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2022	J	`jnl`	A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features. CoRR Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf
2022	A*	`conf`	Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features. ICLR Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
2022	J	`jnl`	Efficient and Stable Graph Scattering Transforms via Pruning. IEEE Trans. Pattern Anal. Mach. Intell. Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
2022	J	`jnl`	Efficient and effective training of language and graph neural network models. CoRR Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis
2022	A*	`conf`	Graph Neural Networks in Life Sciences: Opportunities and Solutions. KDD Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama
2022	J	`jnl`	Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. CoRR Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis
2022	A*	`conf`	TempoQR: Temporal Question Reasoning over Knowledge Graphs. AAAI Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
2022	J	`jnl`	Variational Causal Inference. CoRR Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis
2021	J	`jnl`	Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features. CoRR Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
2021	J	`jnl`	Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. IEEE Trans. Knowl. Data Eng. Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2021	J	`jnl`	Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. CoRR Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis
2021	J	`jnl`	TempoQR: Temporal Question Reasoning over Knowledge Graphs. CoRR Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
2021	J	`jnl`	Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. CoRR Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
2021	Misc	`conf`	Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs. ICASSP Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
2020	J	`jnl`	COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. CoRR Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis
2020	Misc	`conf`	Defending Graph Convolutional Networks Against Adversarial Attacks. ICASSP Vassilis N. Ioannidis, Georgios B. Giannakis
2020	J	`jnl`	Efficient and Stable Graph Scattering Transforms via Pruning. CoRR Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
2020	J	`jnl`	Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. CoRR Vassilis N. Ioannidis, Da Zheng, George Karypis
2020	J	`jnl`	Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes. IEEE Trans. Signal Process. Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis
2020	J	`jnl`	PanRep: Universal node embeddings for heterogeneous graphs. CoRR Vassilis N. Ioannidis, Da Zheng, George Karypis
2020	A*	`conf`	Pruned Graph Scattering Transforms. ICLR Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
2020	Misc	`conf`	Semi-Supervised Learning of Processes Over Multi-Relational Graphs. ICASSP Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis
2020	J	`jnl`	Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning. IEEE Trans. Signal Process. Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2020	J	`jnl`	Tensor Graph Convolutional Networks for Multi-relational and Robust Learning. CoRR Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2020	Misc	`conf`	Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. ACSSC Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
2019	Misc	`conf`	A Recurrent Graph Neural Network for Multi-relational Data. ICASSP Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2019	J	`jnl`	Edge Dithering for Robust Adaptive Graph Convolutional Networks. CoRR Vassilis N. Ioannidis, Georgios B. Giannakis
2019	—	`conf`	Graph Neural Networks for Predicting Protein Functions. CAMSAP Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2019	J	`jnl`	GraphSAC: Detecting anomalies in large-scale graphs. CoRR Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
2019	Misc	`conf`	Learning Graph Processes with Multiple Dynamical Models. ACSSC Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis, Mario Coutino
2019	J	`jnl`	Semi-Blind Inference of Topologies and Dynamical Processes Over Dynamic Graphs. IEEE Trans. Signal Process. Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
2019	—	`conf`	Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs. DSW Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis
2018	J	`jnl`	A Recurrent Graph Neural Network for Multi-Relational Data. CoRR Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2018	J	`jnl`	Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. CoRR Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2018	—	`conf`	Imputation of Coupled Tensors and Graphs. GlobalSIP Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nikolas D. Sidiropoulos
2018	J	`jnl`	Inference of Spatio-Temporal Functions Over Graphs via Multikernel Kriged Kalman Filtering. IEEE Trans. Signal Process. Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis
2018	—	`conf`	Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
2018	J	`jnl`	Semi-Blind Inference of Topologies and Dynamical Processes over Graphs. CoRR Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
2018	—	`conf`	Semi-Blind Inference of Topologies and Signals over Graphs. DSW Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
2017	J	`jnl`	Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering. CoRR Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis
2017	—	`conf`	Inference of spatiotemporal processes over graphs via kernel kriged Kalman filtering. EUSIPCO Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis
2017	J	`jnl`	Kernel-Based Reconstruction of Space-Time Functions on Dynamic Graphs. IEEE J. Sel. Top. Signal Process. Daniel Romero, Vassilis N. Ioannidis, Georgios B. Giannakis
2017	J	`jnl`	Kernel-based Inference of Functions over Graphs. CoRR Vassilis N. Ioannidis, Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
2017	—	`conf`	Semi-parametric graph kernel-based reconstruction. GlobalSIP Vassilis N. Ioannidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
2016	Misc	`conf`	Coupled graph tensor factorization. ACSSC Ahmed S. Zamzam, Vassilis N. Ioannidis, Nicholas D. Sidiropoulos
2016	J	`jnl`	Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs. CoRR Daniel Romero, Vassilis N. Ioannidis, Georgios B. Giannakis
2016	Misc	`conf`	Kernel-based reconstruction of space-time functions via extended graphs. ACSSC Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis