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Bingzhe Wei

2 accepted papers

2020

Curvature Regularization to Prevent Distortion in Graph Embedding

NeurIPS 2020spotlight

Recent research on graph embedding has achieved success in various applications. Most graph embedding methods preserve the proximity in a graph into a manifold in an embedding space. We argue an important but neglected problem about this proximity-preserving strategy: Graph topology patterns, while…

Cited by 15SourcePDFScholar
2020

Geom-GCN: Geometric Graph Convolutional Networks

ICLR 2020spotlight

Message-passing neural networks (MPNNs) have been successfully applied in a wide variety of applications in the real world. However, two fundamental weaknesses of MPNNs' aggregators limit their ability to represent graph-structured data: losing the structural information of nodes in neighborhoods an…

Cited by 1460SourcecodeScholar