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ORCIDVassilis N. Ioannidis
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2020 – today
- 2025
[i32]Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos:
Spectro-Riemannian Graph Neural Networks. CoRR abs/2502.00401 (2025)- 2024
- [j9]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf:
Graph Neural Networks Formed via Layer-wise Ensembles of Heterogeneous Base Models. Trans. Mach. Learn. Res. 2024 (2024) - [c29]Hengrui Zhang
, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
Revisit Orthogonality in Graph-Regularized MLPs. CIKM 2024: 3145-3154 - [c28]Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai:
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. ICLR 2024 - [c27]Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos:
NetInfoF Framework: Measuring and Exploiting Network Usable Information. ICLR 2024 - [c26]Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Y. Zou:
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. NeurIPS 2024 - [c25]Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Y. Zou, Jure Leskovec:
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. NeurIPS 2024 - [c24]Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos:
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. SIGIR 2024: 2662-2666 - [c23]Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra:
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. WSDM 2024: 994-1002 - [i31]Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos:
NetInfoF Framework: Measuring and Exploiting Network Usable Information. CoRR abs/2402.07999 (2024) - [i30]Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec:
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR abs/2404.13207 (2024) - [i29]Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy:
Context-Aware Clustering using Large Language Models. CoRR abs/2405.00988 (2024) - [i28]Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou:
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR abs/2406.11200 (2024) - [i27]Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos:
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. CoRR abs/2412.16311 (2024) - 2023
- [c22]Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis:
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. ICLR 2023 - [c21]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:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD 2023: 5270-5281 - [c20]Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis:
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) 2023: 157-173 - [i26]Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR abs/2302.00109 (2023) - [i25]Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis:
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR abs/2304.10668 (2023) - [i24]Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra:
SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks. CoRR abs/2306.00899 (2023) - [i23]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:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR abs/2306.02592 (2023) - [i22]Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos:
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. CoRR abs/2309.13885 (2023) - 2022
- [j8]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1232-1246 (2022) - [j7]Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis:
TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. 15(8): 1572-1580 (2022) - [c19]Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis:
TempoQR: Temporal Question Reasoning over Knowledge Graphs. AAAI 2022: 5825-5833 - [c18]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf:
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features. ICLR 2022 - [c17]Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama:
Graph Neural Networks in Life Sciences: Opportunities and Solutions. KDD 2022: 4834-4835 - [i21]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf:
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features. CoRR abs/2206.08473 (2022) - [i20]Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis:
Efficient and effective training of language and graph neural network models. CoRR abs/2206.10781 (2022) - [i19]Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis:
Variational Causal Inference. CoRR abs/2209.05935 (2022) - [i18]Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis:
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. CoRR abs/2210.00116 (2022) - 2021
- [j6]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. IEEE Trans. Knowl. Data Eng. 33(3): 909-920 (2021) - [c16]Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis:
Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs. ICASSP 2021: 5499-5503 - [i17]Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis:
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. CoRR abs/2104.08637 (2021) - [i16]Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis:
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. CoRR abs/2110.06290 (2021) - [i15]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf:
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features. CoRR abs/2110.13413 (2021) - [i14]Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis:
TempoQR: Temporal Question Reasoning over Knowledge Graphs. CoRR abs/2112.05785 (2021) - 2020
- [j5]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis:
Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes. IEEE Trans. Signal Process. 68: 2586-2597 (2020) - [j4]Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis:
Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning. IEEE Trans. Signal Process. 68: 6535-6546 (2020) - [c15]Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis:
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. ACSSC 2020: 726-730 - [c14]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis:
Semi-Supervised Learning of Processes Over Multi-Relational Graphs. ICASSP 2020: 5560-5564 - [c13]Vassilis N. Ioannidis, Georgios B. Giannakis:
Defending Graph Convolutional Networks Against Adversarial Attacks. ICASSP 2020: 8469-8473 - [c12]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Pruned Graph Scattering Transforms. ICLR 2020 - [i13]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. CoRR abs/2001.09882 (2020) - [i12]Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis:
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning. CoRR abs/2003.07729 (2020) - [i11]Vassilis N. Ioannidis, Da Zheng, George Karypis:
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. CoRR abs/2007.10261 (2020) - [i10]Vassilis N. Ioannidis, Da Zheng, George Karypis:
PanRep: Universal node embeddings for heterogeneous graphs. CoRR abs/2007.10445 (2020) - [i9]Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis:
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. CoRR abs/2007.12731 (2020)
2010 – 2019
- 2019
- [j3]Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis:
Semi-Blind Inference of Topologies and Dynamical Processes Over Dynamic Graphs. IEEE Trans. Signal Process. 67(9): 2263-2274 (2019) - [c11]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis, Mario Coutino:
Learning Graph Processes with Multiple Dynamical Models. ACSSC 2019: 1783-1787 - [c10]Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis:
Graph Neural Networks for Predicting Protein Functions. CAMSAP 2019: 221-225 - [c9]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis:
Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs. DSW 2019: 64-68 - [c8]Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis:
A Recurrent Graph Neural Network for Multi-relational Data. ICASSP 2019: 8157-8161 - [i8]Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis:
GraphSAC: Detecting anomalies in large-scale graphs. CoRR abs/1910.09589 (2019) - [i7]Vassilis N. Ioannidis, Georgios B. Giannakis:
Edge Dithering for Robust Adaptive Graph Convolutional Networks. CoRR abs/1910.09590 (2019) - 2018
- [j2]Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis:
Inference of Spatio-Temporal Functions Over Graphs via Multikernel Kriged Kalman Filtering. IEEE Trans. Signal Process. 66(12): 3228-3239 (2018) - [c7]Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis:
Semi-Blind Inference of Topologies and Signals over Graphs. DSW 2018: 165-169 - [c6]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nikolas D. Sidiropoulos:
Imputation of Coupled Tensors and Graphs. GlobalSIP 2018: 1331-1335 - [c5]Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis:
Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC 2018: 1-5 - [i6]Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis:
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs. CoRR abs/1805.06095 (2018) - [i5]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. CoRR abs/1809.08353 (2018) - [i4]Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis:
A Recurrent Graph Neural Network for Multi-Relational Data. CoRR abs/1811.02061 (2018) - 2017
- [j1]Daniel Romero, Vassilis N. Ioannidis, Georgios B. Giannakis:
Kernel-Based Reconstruction of Space-Time Functions on Dynamic Graphs. IEEE J. Sel. Top. Signal Process. 11(6): 856-869 (2017) - [c4]Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis:
Inference of spatiotemporal processes over graphs via kernel kriged Kalman filtering. EUSIPCO 2017: 1679-1683 - [c3]Vassilis N. Ioannidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis:
Semi-parametric graph kernel-based reconstruction. GlobalSIP 2017: 588-592 - [i3]Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis:
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering. CoRR abs/1711.09306 (2017) - [i2]Vassilis N. Ioannidis, Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis:
Kernel-based Inference of Functions over Graphs. CoRR abs/1711.10353 (2017) - 2016
- [c2]Ahmed S. Zamzam, Vassilis N. Ioannidis, Nicholas D. Sidiropoulos:
Coupled graph tensor factorization. ACSSC 2016: 1755-1759 - [c1]Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis:
Kernel-based reconstruction of space-time functions via extended graphs. ACSSC 2016: 1829-1833 - [i1]Daniel Romero, Vassilis N. Ioannidis, Georgios B. Giannakis:
Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs. CoRR abs/1612.03615 (2016)
Coauthor Index
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