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.

168,922 papers · 148 categories

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4 results for “degree-specific”

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classificationcs.LG

DEMO-Net improves graph neural networks by focusing on node degree.

problem Limited analysis of graph convolution properties and lack of degree-specific graph structure.

method Proposes DEMO-Net, a degree-specific graph neural network that recursively identifies 1-hop neighborhood structures and uses multi-task learning for node representation learning.

result Demonstrates effectiveness and efficiency of DEMO-Net on node and graph classification benchmarks.

graph neural networks degree-specific graph convolution graph pooling node representation

2019-06-05abs ↗pdf ↗

Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networkscs.LG

GCNs favor high-degree nodes, leading to biased performance; a new method mitigates this.

problem Degree-related biases in GCNs, especially for low-degree nodes.

method Developed a novel SL-DSGC that reduces model and data biases.

result SL-DSGC improves GCN accuracy significantly for low-degree nodes.

Graph Convolutional Networks Degree Biases Self-Supervised Learning Low-Degree Nodes Uncertainty Scores

2020-06-28abs ↗pdf ↗

A Full-History Network Dataset for BTC Asset Decentralization Profilingq-fin.ST

This paper creates a comprehensive BTC transaction network dataset spanning 15 years.

problem Lack of a full-history BTC graph and network property dataset.

method Thorough analysis of BTC transaction network, creating a dataset and investigating decentralization.

result First systematic investigation of BTC's asset decentralization and design of decentralization degrees.

Bitcoin transaction network decentralization asset analysis network properties

2024-11-19abs ↗pdf ↗

Simplicial degree

d

self-maps on

n

-spheresmath.GT

The paper constructs simplicial maps of any degree on spheres, solving a long-standing problem.

problem Constructing simplicial maps of any degree on spheres.

method Using connected sums and facet orientations, the paper develops a method to construct maps of any prescribed degree.

result The paper answers a question posed by Ryabichev and constructs simplicial maps of degree

d

for large

d

simplicial maps degree spheres topology triangulation

2024-09-02abs ↗pdf ↗