Abstract: Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE) to make the node representations ...
A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...
Abstract: Sampling is a widely used graph reduction technique to accelerate graph computations and simplify graph visualizations. By comprehensively analyzing the literature on graph sampling, we ...
This repository is the implementation of Graph Transformer Networks(GTN) and Fast Graph Transformer Networks with Non-local Operations (FastGTN). Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, ...
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