Line Graph Contrastive Learning for Link Prediction. (arXiv:2210.13795v1 [cs.LG])

Link prediction task aims to predict the connection of two nodes in the
network. Existing works mainly predict links by node pairs similarity
measurements. However, if the local structure doesn't meet such measurement
assumption, the algorithms' performance will deteriorate rapidly. To overcome
these limitations, we propose a Line Graph Contrastive Learning (LGCL) method
to obtain multiview information. Our framework obtains a subgraph view by h-hop
subgraph sampling with target node pairs as the center. After transforming the
sampled subgraph into …

arxiv graph line link prediction prediction