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Vassilis N Ioannidis
Vassilis N Ioannidis
Amazon
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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, ...
arXiv preprint arXiv:2010.09600, 2020
1342020
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
110*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, ...
arXiv preprint arXiv:2007.12731, 2020
982020
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
662019
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
652022
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
642020
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
572019
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
482019
Graph neural networks for predicting protein functions
VN Ioannidis, AG Marques, GB Giannakis
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
392019
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
352018
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
342020
Graphsac: Detecting anomalies in large-scale graphs
VN Ioannidis, D Berberidis, GB Giannakis
arXiv preprint arXiv:1910.09589, 2019
322019
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
292023
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
S Wu, S Zhao, M Yasunaga, K Huang, K Cao, Q Huang, VN Ioannidis, ...
arXiv preprint arXiv:2404.13207, 2024
252024
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
242023
Pruned graph scattering transforms
VN Ioannidis, S Chen, GB Giannakis
International Conference on Learning Representations, 2020
212020
Biobridge: Bridging biomedical foundation models via knowledge graph
Z Wang, Z Wang, B Srinivasan, VN Ioannidis, H Rangwala, R Anubhai
arXiv preprint arXiv:2310.03320, 2023
192023
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
192022
Efficient and effective training of language and graph neural network models
VN Ioannidis, X Song, D Zheng, H Zhang, J Ma, Y Xu, B Zeng, T Chilimbi, ...
arXiv preprint arXiv:2206.10781, 2022
182022
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