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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.

169,291 papers · 148 categories

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1 result for GraphVAE

This thesis explores deep learning on graphs, focusing on encoding and decoding.

problem Deep learning on graph-structured data is underexplored.
method Introduces Edge-Conditioned Convolutions (ECC) for graph encoding and SuperPoint Graph for intermediate representation.
result Developed GraphVAE for generating graphs with variable node counts.