Vassilis N. Ioannidis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 65

Top Topics

Kalman Filtering

Causal Inference

Top Venues

Publications

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)
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)
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 (2024)
Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. SIGIR (2024)
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 (2024)
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 (2024)
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. ICLR (2024)
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 (2024)
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)
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)
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 (2023)
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 (2023)
Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. CoRR (2023)
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 (2023)
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 (2023)
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)
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)
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
Efficient and Stable Graph Scattering Transforms via Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
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) (2022)
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 (2022)
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)
Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis
Variational Causal Inference. CoRR (2022)
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 (2022)
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
TempoQR: Temporal Question Reasoning over Knowledge Graphs. AAAI (2022)
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)
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 (2022)
Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs. ICASSP (2021)
Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. CoRR (2021)
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) (2021)
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. CoRR (2021)
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
TempoQR: Temporal Question Reasoning over Knowledge Graphs. CoRR (2021)
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 (2021)
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 (2020)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning. CoRR (2020)
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
Efficient and Stable Graph Scattering Transforms via Pruning. CoRR (2020)
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. ACSSC (2020)
Vassilis N. Ioannidis, Georgios B. Giannakis
Defending Graph Convolutional Networks Against Adversarial Attacks. ICASSP (2020)
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
Pruned Graph Scattering Transforms. ICLR (2020)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning. IEEE Trans. Signal Process. 68 (2020)
Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis
Semi-Supervised Learning of Processes Over Multi-Relational Graphs. ICASSP (2020)
Vassilis N. Ioannidis, Da Zheng, George Karypis
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. CoRR (2020)
Vassilis N. Ioannidis, Da Zheng, George Karypis
PanRep: Universal node embeddings for heterogeneous graphs. CoRR (2020)
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 (2020)
Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
GraphSAC: Detecting anomalies in large-scale graphs. CoRR (2019)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
A Recurrent Graph Neural Network for Multi-relational Data. ICASSP (2019)
Vassilis N. Ioannidis, Georgios B. Giannakis
Edge Dithering for Robust Adaptive Graph Convolutional Networks. CoRR (2019)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
Graph Neural Networks for Predicting Protein Functions. CAMSAP (2019)
Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis
Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs. DSW (2019)
Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis, Mario Coutino
Learning Graph Processes with Multiple Dynamical Models. ACSSC (2019)
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) (2019)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
A Recurrent Graph Neural Network for Multi-Relational Data. CoRR (2018)
Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC (2018)
Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nikolas D. Sidiropoulos
Imputation of Coupled Tensors and Graphs. GlobalSIP (2018)
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) (2018)
Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. CoRR (2018)
Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
Semi-Blind Inference of Topologies and Signals over Graphs. DSW (2018)
Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs. CoRR (2018)
Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering. CoRR (2017)
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) (2017)
Vassilis N. Ioannidis, Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Kernel-based Inference of Functions over Graphs. CoRR (2017)
Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis
Inference of spatiotemporal processes over graphs via kernel kriged Kalman filtering. EUSIPCO (2017)
Vassilis N. Ioannidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Semi-parametric graph kernel-based reconstruction. GlobalSIP (2017)
Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis
Kernel-based reconstruction of space-time functions via extended graphs. ACSSC (2016)
Ahmed S. Zamzam, Vassilis N. Ioannidis, Nicholas D. Sidiropoulos
Coupled graph tensor factorization. ACSSC (2016)
Daniel Romero, Vassilis N. Ioannidis, Georgios B. Giannakis
Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs. CoRR (2016)