4.8k citations · 5.7k across the 7 of their papers we have counts for
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cs.LG2022★ 33 cited
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
Wei Ju, Junwei Yang, Meng Qu +3
This paper studies semi-supervised graph classification, which is an important problem with various applications in social network analysis and bioinformatics. This problem is typi…
cs.LG2020★ 210 cited
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu, Zhaocheng Zhu +3
Molecular graph generation is a fundamental problem for drug discovery and has been attracting growing attention. The problem is challenging since it requires not only generating c…
cs.LG2015★ 4.8k cited
LINE: Large-scale Information Network Embedding
Jian Tang, Meng Qu, Mingzhe Wang +3
This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful in many tasks such as visualization, node classifica…