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08/06/2023
Communication-Free Distributed GNN Training with Vertex Cut
Training Graph Neural Networks (GNNs) on real-world graphs consisting of...
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02/27/2023
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction
Link prediction is central to many real-world applications, but its perf...
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11/23/2022
Search Behavior Prediction: A Hypergraph Perspective
Although the bipartite shopping graphs are straightforward to model sear...
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10/26/2022
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks
Despite many advances in Graph Neural Networks (GNNs), their training st...
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11/08/2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Graph Neural Networks (GNNs) have achieved state of the art performance ...
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06/03/2019
