activity
20172021
most citedRipple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network

12 citations · 18 across the 6 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021

Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

Graph neural network (GNN) has shown convincing performance in learning powerful node representations that preserve both node attributes and graph structural information. However,…

cs.LG2021★ 4 cited

Label Contrastive Coding based Graph Neural Network for Graph Classification

Yuxiang Ren, Jiyang Bai, Jiawei Zhang

Graph classification is a critical research problem in many applications from different domains. In order to learn a graph classification model, the most widely used supervision co…