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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.

168,742 papers · 148 categories

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1 result for “mis-simplification”
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Modelstat.ML

EEGNN improves graph neural networks by enhancing graph structure.

problem Mis-simplification of graphs by removing self-loops and unweighted edges reduces GNN performance.
method Proposes EEGNN framework using DMPGM for better graph structural information.
result EEGNN achieves significant performance improvement over baselines.
graph neural networksmis-simplificationBayesian nonparametricMarkov chain Monte Carlostructural information
2022-08-12abs ↗pdf ↗