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20222025
most citedSEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases

2 citations · 6 across the 8 of their papers we have counts for

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cs.LG2022

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Ziqi Gao, Yifan Niu, Jiashun Cheng +6

Graph neural networks (GNNs) are popular weapons for modeling relational data. Existing GNNs are not specified for attribute-incomplete graphs, making missing attribute imputation…

cs.LG2022★ 1 cited

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning

Jiashun Cheng, Man Li, Jia Li +1

Graph self-supervised learning (SSL) has been vastly employed to learn representations from unlabeled graphs. Existing methods can be roughly divided into predictive learning and c…