Vassilis N. Ioannidis, PhD
Vassilis N. Ioannidis, PhD
Preverjeni e-poštni naslov na umn.edu - Domača stran
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
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
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
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
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
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 workshop, 2020
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
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
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
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
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
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
Graph neural networks for predicting protein functions
VN Ioannidis, AG Marques, GB Giannakis
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
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
Defending graph convolutional networks against adversarial attacks
VN Ioannidis, GB Giannakis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Pruned graph scattering transforms
VN Ioannidis, S Chen, GB Giannakis
International Conference on Learning Representations, 2020
Kernel-based semi-supervised learning over multilayer graphs
VN Ioannidis, PA Traganitis, Y Shen, GB Giannakis
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
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
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
Graph-adaptive semi-supervised tracking of dynamic processes over switching network modes
Q Lu, VN Ioannidis, GB Giannakis
IEEE Transactions on Signal Processing 68, 2586-2597, 2020
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