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Vassilis N. Ioannidis, PhD
Vassilis N. Ioannidis, PhD
Amazon
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Название
Процитировано
Процитировано
Год
Drkg-drug repurposing knowledge graph for covid-19
VN Ioannidis, X Song, S Manchanda, M Li, X Pan, D Zheng, X Ning, ...
https://github.com/gnn4dr/DRKG/blob/master/DRKG%20Drug%20Repurposing …, 2020
123*2020
Kernel-based reconstruction of space-time functions via extended graphs
VN Ioannidis, D Romero, GB Giannakis
2016 50th Asilomar Conference on Signals, Systems and Computers, 1829-1833, 2016
108*2016
COVID-19 knowledge graph: accelerating information retrieval and discovery for scientific literature
C Wise, VN Ioannidis, MR Calvo, X Song, G Price, N Kulkarni, R Brand, ...
AACL 2020 workshop, 2020
982020
Tgl: A general framework for temporal gnn training on billion-scale graphs
H Zhou, D Zheng, I Nisa, V Ioannidis, X Song, G Karypis
VLDB 2022, 2022
922022
Semi-Blind Inference of Topologies and Dynamical Processes Over Dynamic Graphs
VN Ioannidis, Y Shen, GB Giannakis
IEEE Transactions on Signal Processing 67 (9), 2263-2274, 2019
692019
Coupled graphs and tensor factorization for recommender systems and community detection
VN Ioannidis, AS Zamzam, GB Giannakis, ND Sidiropoulos
IEEE Transactions on Knowledge and Data Engineering 33 (3), 909-920, 2019
62*2019
Few-shot link prediction via graph neural networks for covid-19 drug-repurposing
VN Ioannidis, D Zheng, G Karypis
ICML 2020; Graph Representation Learning and Beyond, 2020
612020
Tempoqr: temporal question reasoning over knowledge graphs
C Mavromatis, PL Subramanyam, VN Ioannidis, A Adeshina, PR Howard, ...
Proceedings of the AAAI conference on artificial intelligence 36 (5), 5825-5833, 2022
582022
A recurrent graph neural network for multi-relational data
VN Ioannidis, AG Marques, GB Giannakis
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
442019
Inference of spatio-temporal functions over graphs via multikernel kriged kalman filtering
VN Ioannidis, D Romero, GB Giannakis
IEEE Transactions on Signal Processing 66 (12), 3228-3239, 2018
44*2018
Unveiling anomalous nodes via random sampling and consensus on graphs
VN Ioannidis, D Berberidis, GB Giannakis
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
39*2021
Graph neural networks for predicting protein functions
VN Ioannidis, AG Marques, GB Giannakis
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
352019
Tensor graph convolutional networks for multi-relational and robust learning
VN Ioannidis, AG Marques, GB Giannakis
IEEE Transactions on Signal Processing 68, 6535-6546, 2020
322020
Kernel-based inference of functions over graphs
VN Ioannidis, M Ma, AN Nikolakopoulos, GB Giannakis, D Romero
Adaptive Learning Methods for Nonlinear System Modeling, 173-198, 2018
322018
Train your own gnn teacher: Graph-aware distillation on textual graphs
C Mavromatis, VN Ioannidis, S Wang, D Zheng, S Adeshina, J Ma, H Zhao, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
242023
Graph-aware language model pre-training on a large graph corpus can help multiple graph applications
H Xie, D Zheng, J Ma, H Zhang, VN Ioannidis, X Song, Q Ping, S Wang, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
212023
Defending graph convolutional networks against adversarial attacks
VN Ioannidis, GB Giannakis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
21*2020
A knowledge graph of clinical trials (CTKG)
Z Chen, B Peng, VN Ioannidis, M Li, G Karypis, X Ning
Scientific reports 12 (1), 4724, 2022
20*2022
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
J Chen, J Mueller, VN Ioannidis, S Adeshina, Y Wang, T Goldstein, D Wipf
International Conference on Learning Representations 2022, 2021
20*2021
Pruned graph scattering transforms
VN Ioannidis, S Chen, GB Giannakis
International Conference on Learning Representations, 2020
202020
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