Vassilis N. Ioannidis

According to our database1, Vassilis N. Ioannidis authored at least 28 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes.
IEEE Trans. Signal Process., 2020

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature.
CoRR, 2020

PanRep: Universal node embeddings for heterogeneous graphs.
CoRR, 2020

Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing.
CoRR, 2020

Tensor Graph Convolutional Networks for Multi-relational and Robust Learning.
CoRR, 2020

Efficient and Stable Graph Scattering Transforms via Pruning.
CoRR, 2020

Pruned Graph Scattering Transforms.
Proceedings of the 8th International Conference on Learning Representations, 2020

Semi-Supervised Learning of Processes Over Multi-Relational Graphs.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Defending Graph Convolutional Networks Against Adversarial Attacks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Semi-Blind Inference of Topologies and Dynamical Processes Over Dynamic Graphs.
IEEE Trans. Signal Process., 2019

Edge Dithering for Robust Adaptive Graph Convolutional Networks.
CoRR, 2019

GraphSAC: Detecting anomalies in large-scale graphs.
CoRR, 2019

A Recurrent Graph Neural Network for Multi-relational Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs.
Proceedings of the IEEE Data Science Workshop, 2019

Graph Neural Networks for Predicting Protein Functions.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Inference of Spatio-Temporal Functions Over Graphs via Multikernel Kriged Kalman Filtering.
IEEE Trans. Signal Process., 2018

Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection.
CoRR, 2018

Semi-Blind Inference of Topologies and Dynamical Processes over Graphs.
CoRR, 2018

Kernel-Based Semi-Supervised Learning Over Multilayer Graphs.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Imputation of Coupled Tensors and Graphs.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Semi-Blind Inference of Topologies and Signals over Graphs.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
Kernel-Based Reconstruction of Space-Time Functions on Dynamic Graphs.
IEEE J. Sel. Top. Signal Process., 2017

Kernel-based Inference of Functions over Graphs.
CoRR, 2017

Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering.
CoRR, 2017

Semi-parametric graph kernel-based reconstruction.
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
Coupled graph tensor factorization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Kernel-based reconstruction of space-time functions via extended graphs.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016


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