26 citations · 47 across the 4 of their papers we have counts for
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cs.LG2019★ 1 cited
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling
Hao Peng, Jianxin Li, Hao Yan +5
Network representation learning, as an approach to learn low dimensional representations of vertices, has attracted considerable research attention recently. It has been proven ext…
cs.LG2018★ 8 cited
Graph Convolutional Neural Networks via Motif-based Attention
Hao Peng, Jianxin Li, Qiran Gong +3
Many real-world problems can be represented as graph-based learning problems. In this paper, we propose a novel framework for learning spatial and attentional convolution neural ne…