ENTITY
WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia
WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia
PulseAugur coverage of WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia — every cluster mentioning WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D
2 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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New GNN Module Enhances Classification by Reducing Structural Noise
Researchers have developed a new plug-in module called Boundary Embedding Shaping (BES) designed to improve the performance of Graph Neural Networks (GNNs). BES specifically addresses the issue of graph structural entan…
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LLM Features Can Harm GNN Performance on Homophilous Graphs
A new research paper reveals that incorporating features generated by large language models (LLMs) into graph neural networks (GNNs) can sometimes decrease performance on specific benchmarks. This effect, termed 'concat…