1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Supervised Contrastive Learning with Structure Inference for Graph Classification
Hao Jia, Junzhong Ji, Minglong Lei
Advanced graph neural networks have shown great potentials in graph classification tasks recently. Different from node classification where node embeddings aggregated from local ne…
cs.LG2021★ 1 cited
Latent Network Embedding via Adversarial Auto-encoders
Minglong Lei, Yong Shi, Lingfeng Niu
Graph auto-encoders have proved to be useful in network embedding task. However, current models only consider explicit structures and fail to explore the informative latent structu…
cs.LG2018
Diffusion Based Network Embedding
Yong Shi, Minglong Lei, Peng Zhang +1
In network embedding, random walks play a fundamental role in preserving network structures. However, random walk based embedding methods have two limitations. First, random walk m…