Search Results for author: Linpu Jiang

Found 2 papers, 1 papers with code

Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast

no code implementations16 Dec 2021 Linpu Jiang, Ke-Jia Chen, Jingqiang Chen

Specifically, a novel temporal subgraph sampling strategy is firstly proposed, which takes each node of the dynamic graph as the central node and uses both neighborhood structures and edge timestamps to sample the corresponding temporal subgraph.

Contrastive Learning Graph Representation Learning +2

Pre-Training on Dynamic Graph Neural Networks

1 code implementation24 Feb 2021 Ke-Jia Chen, Jiajun Zhang, Linpu Jiang, Yunyun Wang, Yuxuan Dai

This paper proposes a pre-training method on dynamic graph neural networks (PT-DGNN), which uses dynamic attributed graph generation tasks to simultaneously learn the structure, semantics, and evolution features of the graph.

Graph Generation Graph Sampling +1

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