The main contribution of this work is a novel graph rewiring framework that simultaneously reduces over-squashing, respects graph locality, and preserves sparsity, outperforming existing techniques on ...
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 ...
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