On-device research index

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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2 results for “Hop-Attention”

Dual-Attention Graph Convolutional Networkcs.LG

Dual-attention GCN improves text classification by adapting to textual complexity.

problem Challenges in learning discriminative features from texts due to graph variants.

method Proposes a dual-attention GCN with connection-attention and hop-attention mechanisms.

result Achieves state-of-the-art performance on text classification tasks.

Graph Convolutional Network Text Classification Dual-Attention Connection-Attention Hop-Attention

2019-11-28abs ↗pdf ↗

Multi-hop Attention Graph Neural Networkcs.LG

MAGNA improves graph neural networks by incorporating multi-hop context information.

problem Limited context in current graph neural networks.

method Diffuses attention scores across the network, accounting for all paths between nodes.

result State-of-the-art performance on node classification and knowledge graph completion benchmarks.

graph neural networks attention mechanism multi-hop context receptive field diffusion prior

2020-09-29abs ↗pdf ↗