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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.

168,695 papers · 148 categories

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1 result for “DropNode”
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularizationcs.LG

Improves GCNNs with node transition probabilities and DropNode regularization.

problem Over-fitting and over-smoothing issues in GCNNs.
method Message passing based on node transition probabilities and DropNode regularization.
result Improved GCNNs with better node representations and reduced over-fitting and over-smoothing.
GCNNsnode transition probabilitiesmessage passingDropNodeover-fitting
2020-08-28abs ↗pdf ↗