3 citations · 5 across the 2 of their papers we have counts for
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cs.LG2021★ 3 cited
Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding
Yuheng Lu, Jinpeng Chen, ChuXiong Sun +1
Learning node representations that incorporate information from graph structure benefits wide range of tasks on graph. The majority of existing graph neural networks (GNNs) have li…
cs.LG2021
Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
Chuxiong Sun, Hongming Gu, Jie Hu
It is hard to directly implement Graph Neural Networks (GNNs) on large scaled graphs. Besides of existed neighbor sampling techniques, scalable methods decoupling graph convolution…
cs.LG2020
Adaptive Graph Diffusion Networks
Chuxiong Sun, Jie Hu, Hongming Gu +2
Graph Neural Networks (GNNs) have received much attention in the graph deep learning domain. However, recent research empirically and theoretically shows that deep GNNs suffer from…