Vassilis N. Ioannidis, PhD
Vassilis N. Ioannidis, PhD
Applied Scientist, Amazon
Verified email at umn.edu - Homepage
Title
Cited by
Cited by
Year
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
72*2016
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
362019
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
27*2018
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, ...
arXiv preprint arXiv:2007.12731, 2020
212020
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
21*2019
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
19*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
192018
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
182020
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
162019
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
132018
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
102020
Few-shot link prediction via graph neural networks for covid-19 drug-repurposing
VN Ioannidis, D Zheng, G Karypis
arXiv preprint arXiv:2007.10261, 2020
102020
Semi-blind inference of topologies and signals over graphs
VN Ioannidis, Y Shen, GB Giannakis
2018 IEEE Data Science Workshop (DSW), 165-169, 2018
72018
Semi-parametric graph kernel-based reconstruction
VN Ioannidis, AN Nikolakopoulos, GB Giannakis
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
72017
Edge dithering for robust adaptive graph convolutional networks
VN Ioannidis, GB Giannakis
arXiv preprint arXiv:1910.09590, 2019
62019
Efficient and stable graph scattering transforms via pruning
VN Ioannidis, S Chen, GB Giannakis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
52020
Defending graph convolutional networks against adversarial attacks
VN Ioannidis, GB Giannakis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
52020
Graph neural networks for predicting protein functions
VN Ioannidis, AG Marques, GB Giannakis
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
52019
Semi-supervised tracking of dynamic processes over switching graphs
Q Lu, VN Ioannidis, GB Giannakis
2019 IEEE Data Science Workshop (DSW), 64-68, 2019
52019
Pruned graph scattering transforms
VN Ioannidis, S Chen, GB Giannakis
International Conference on Learning Representations, 2020
42020
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Articles 1–20