33 citations · 124 across the 30 of their papers we have counts for
5 papers · 1 filter
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature
Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo +6
The coronavirus disease (COVID-19) has claimed the lives of over 350,000 people and infected more than 6 million people worldwide. Several search engines have surfaced to provide r…
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
Vassilis N. Ioannidis, Da Zheng, George Karypis
Predicting interactions among heterogenous graph structured data has numerous applications such as knowledge graph completion, recommendation systems and drug discovery. Often time…
PanRep: Graph neural networks for extracting universal node embeddings in heterogeneous graphs
Vassilis N. Ioannidis, Da Zheng, George Karypis
Learning unsupervised node embeddings facilitates several downstream tasks such as node classification and link prediction. A node embedding is universal if it is designed to be us…
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
The era of "data deluge" has sparked renewed interest in graph-based learning methods and their widespread applications ranging from sociology and biology to transportation and com…
Efficient and Stable Graph Scattering Transforms via Pruning
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
Graph convolutional networks (GCNs) have well-documented performance in various graph learning tasks, but their analysis is still at its infancy. Graph scattering transforms (GSTs)…