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cs.LG2021★ 2 cited
Multi-task Self-distillation for Graph-based Semi-Supervised Learning
Yating Ren, Junzhong Ji, Lingfeng Niu +1
Graph convolutional networks have made great progress in graph-based semi-supervised learning. Existing methods mainly assume that nodes connected by graph edges are prone to have…
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…