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.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…
cs.LG2019★ 119 cited
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang, Jiajun Bu, Martin Ester +4
Graph Neural Networks (GNNs), which generalize deep neural networks to graph-structured data, have drawn considerable attention and achieved state-of-the-art performance in numerou…