Abstract: Graph contrastive learning (GCL) has shown excellent performance in recommender systems. However, GCL-based methods have two major problems. First, many methods use graph perturbations to ...
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...
Abstract: Dual challenges of computational efficiency and representation effectiveness exist in processing point clouds. Inspired by the TDA (Topological Data Analysis), we propose to convert the ...
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