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CiteSeerX
CiteSeerX
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LLM Features Can Harm GNN Performance on Homophilous Graphs
A new research paper reveals that incorporating features generated by large language models (LLMs) into graph neural networks (GNNs) can sometimes decrease performance on specific benchmarks. This effect, termed 'concat…
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Gravity-GraphSAGE advances link prediction for directed attributed graphs
Researchers have introduced Gravity-GraphSAGE (GG-SAGE), a novel approach to link prediction in directed attributed graphs. This modified GraphSAGE model incorporates a gravity-inspired decoder, addressing a gap in exis…