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cs.LG2022
SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee, Dohoon Lee, Yinhua Piao +1
While graph neural networks (GNNs) have been successful for node classification tasks and link prediction tasks in graph, learning graph-level representations still remains a chall…
cs.LG2022
Triangular Contrastive Learning on Molecular Graphs
MinGyu Choi, Wonseok Shin, Yijingxiu Lu +1
Recent contrastive learning methods have shown to be effective in various tasks, learning generalizable representations invariant to data augmentation thereby leading to state of t…