SGFormer is a graph encoder backbone that efficiently computes all-pair interactions with one-layer attentive propagation. SGFormer is built upon our previous works on scalable graph Transformers with ...
Abstract: Graph representation methods have recently become the de facto standard for downstream machine learning tasks on graph-structured data and have found numerous applications, e.g., drug ...
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024 ...
Abstract: Feature selection plays an important role in data analysis, yet traditional graph-based methods often produce suboptimal results. These methods typically follow a two-stage process: ...
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