Vassilis N. Ioannidis
Orcid: 0000-0002-8367-0733
According to our database1,
Vassilis N. Ioannidis
authored at least 49 papers
between 2016 and 2024.
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Bibliography
2024
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
CoRR, 2023
SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks.
CoRR, 2023
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proc. VLDB Endow., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
CoRR, 2022
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features.
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection.
IEEE Trans. Knowl. Data Eng., 2021
CoRR, 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation.
CoRR, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes.
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature.
CoRR, 2020
CoRR, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Trans. Signal Process., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Inference of Spatio-Temporal Functions Over Graphs via Multikernel Kriged Kalman Filtering.
IEEE Trans. Signal Process., 2018
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 2018 IEEE Data Science Workshop, 2018
2017
IEEE J. Sel. Top. Signal Process., 2017
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering.
CoRR, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Inference of spatiotemporal processes over graphs via kernel kriged Kalman filtering.
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016