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Neural Common Neighbor with Completion for Link Prediction
May 6, 2024, 4:43 a.m. | Xiyuan Wang, Haotong Yang, Muhan Zhang
cs.LG updates on arXiv.org arxiv.org
Abstract: In this work, we propose a novel link prediction model and further boost it by studying graph incompleteness. First, we introduce MPNN-then-SF, an innovative architecture leveraging structural feature (SF) to guide MPNN's representation pooling, with its implementation, namely Neural Common Neighbor (NCN). NCN exhibits superior expressiveness and scalability compared with existing models, which can be classified into two categories: SF-then-MPNN, augmenting MPNN's input with SF, and SF-and-MPNN, decoupling SF and MPNN. Second, we investigate the …
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