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.

169,341 papers · 148 categories

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3 results for “graph-net”

Social-sparsity brain decoders: faster spatial sparsitystat.ML

Social-sparsity brain decoders improve speed and interpretability.

problem Computational cost and interpretability in brain decoding models.

method Introduced social-sparsity, a structured shrinkage operator.

result Social-sparsity performs almost as well as total-variation models and better than graph-net, with a fraction of the computational cost.

brain decoding sparsity total variation graph-net computationally efficient

2016-06-21abs ↗pdf ↗

Hierarchical graph neural nets can capture long-range interactionscs.LG

HGNet improves GNNs' ability to handle long-range interactions in graphs.

problem Insufficiency of GNNs in capturing long-range interactions.

method Introduces hierarchical message passing models with multi-resolution graph representations.

result HGNet outperforms conventional GNNs in molecular property prediction.

Graph Neural Networks Hierarchical Models Long-Range Interactions Message Passing Receptive Fields

2021-07-15abs ↗pdf ↗

Principal Neighbourhood Aggregation for Graph Netscs.LG

PNA improves GNNs for graph data with multiple aggregators.

problem Capturing continuous features in graph neural networks.

method Combines multiple aggregators with degree-scalers.

result PNA outperforms existing models on graph theory and real-world tasks.

Graph Neural Networks Continuous Features Multiple Aggregators Degree-Scaling Graph Structure

2020-04-12abs ↗pdf ↗