48 citations · 81 across the 10 of their papers we have counts for
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cs.LG2023★ 1 cited
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang +6
How can we learn effective node representations on textual graphs? Graph Neural Networks (GNNs) that use Language Models (LMs) to encode textual information of graphs achieve state…
cs.LG2021★ 2 cited
HeMI: Multi-view Embedding in Heterogeneous Graphs
Costas Mavromatis, George Karypis
Many real-world graphs involve different types of nodes and relations between nodes, being heterogeneous by nature. The representation learning of heterogeneous graphs (HGs) embeds…
cs.LG2020★ 48 cited
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis, George Karypis
Unsupervised (or self-supervised) graph representation learning is essential to facilitate various graph data mining tasks when external supervision is unavailable. The challenge i…