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Diffusion-Induced Spatial Attention Overlapping Community Detection

Paper recorded by Signals 4 on 2026-09-22 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.LG · 机器学习 · first seen 2026-09-23

Abstract

Detection of overlapping communities is essential for modelling networks in which nodes participate simultaneously in multiple structural or functional groups. Existing graph neural network approaches commonly rely on local message passing, which can obscure community boundaries through smoothing and limit the representation of structurally relevant long-range dependencies. We introduce Diffusion-

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#4 most recent of 263 cs.LG papers we have recorded · ↑ newer: Automatic depth-based local center clustering via $β$-integrated local · ↓ older: Optimal Sequential Annotations for Off-Policy Evaluation
Cite this page: Diffusion-Induced Spatial Attention Overlapping Community Detection: the #4 most recent of 263 cs.LG papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/diffusion-induced-spatial-attention-overlapping-community-detection.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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