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cs.LG2023★ 9 cited
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
Hongjiang Chen, Pengfei Jiao, Huijun Tang +1
Temporal graph representation learning aims to generate low-dimensional dynamic node embeddings to capture temporal information as well as structural and property information. Curr…
cs.LG2021
Block Modeling-Guided Graph Convolutional Neural Networks
Dongxiao He, Chundong Liang, Huixin Liu +3
Graph Convolutional Network (GCN) has shown remarkable potential of exploring graph representation. However, the GCN aggregating mechanism fails to generalize to networks with hete…