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06/08/2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Research on GNNs has highlighted a relationship between high homophily (...
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06/01/2023
SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks
Graph Neural Networks (GNNs) have demonstrated promising outcomes across...
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11/05/2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws Towards Better Practices
Graph classification has applications in bioinformatics, social sciences...
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04/12/2021
Relational world knowledge representation in contextual language models: A review
Relational knowledge bases (KBs) are established tools for world knowled...
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02/12/2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Most graph neural networks (GNN) perform poorly in graphs where neighbor...
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09/16/2020
