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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,922 papers · 148 categories

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1 result for “ego-convolutions”
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structurescs.LG

Ego-CNN detects critical structures in graphs efficiently.

problem Lack of precise detection of critical structures in existing graph embedding models.
method Ego-CNN uses ego-convolutions at each layer and stacks them in an ego-centric way.
result Ego-CNN achieves comparable task performance to state-of-the-art models and can incorporate scale-free priors.
graph embeddingcritical structuresego-convolutionsCNNsocial networks
2019-06-23abs ↗pdf ↗