4 citations · 25 across the 13 of their papers we have counts for
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cs.LG2022
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen, Xi Chen, Liping Liu
Variational Graph Autoencoders (VGAEs) are powerful models for unsupervised learning of node representations from graph data. In this work, we systematically analyze modeling node…
cs.LG2022★ 2 cited
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen, Yukun Li, Aonan Zhang +1
Learning to generate graphs is challenging as a graph is a set of pairwise connected, unordered nodes encoding complex combinatorial structures. Recently, several works have propos…