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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.

168,657 papers · 148 categories

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1 result for “GraphSTONE”
Graph Structural-topic Neural Networkcs.LG

GraphSTONE uses topic models to capture graph structures, improving GCN performance.

problem GCNs focus too much on node features and not enough on graph structures.
method GraphSTONE employs topic models of graphs to capture structural topics, which guide the aggregation of node features.
result GraphSTONE outperforms GCNs in performance, efficiency, and interpretability.
Graph Convolutional NetworksTopic ModelsGraph Structural TopicsGraphSTONEGraph Anchor LDA
2020-06-25abs ↗pdf ↗