119 citations · 162 across the 8 of their papers we have counts for
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cs.LG2020★ 2 cited
Cyclic Label Propagation for Graph Semi-supervised Learning
Zhao Li, Yixin Liu, Zhen Zhang +3
Graph neural networks (GNNs) have emerged as effective approaches for graph analysis, especially in the scenario of semi-supervised learning. Despite its success, GNN often suffers…
cs.CL2020
Matching Text with Deep Mutual Information Estimation
Xixi Zhou, Chengxi Li, Jiajun Bu +4
Text matching is a core natural language processing research problem. How to retain sufficient information on both content and structure information is one important challenge. In…
cs.LG2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma, Jiajun Bu, Jieyu Yang +5
Graph classification aims to extract accurate information from graph-structured data for classification and is becoming more and more important in graph learning community. Althoug…