Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Philip S. Yu

h-index 10 View on Semantic Scholar

We have 3 of 26 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy

This work proposes SCISE, a unsupervised graph clustering framework that significantly outperforms state-of-the-art algorithms, and designs a Structural Contrastive Learning module that refines edge weights based on intra-batch structural similarity, guiding the encoder to learn representations in higher-order structur...

Jingyun Zhang, Hao Peng, Jianxin Li et al. · 0 citations
Aug 2026

DHMNN: A Hypergraph Motif-Based Framework for Directed Hyperlink Prediction.

A novel directed hypergraph motif-based neural network (DHMNN) for directed hyperlink prediction, which simultaneously captures higher order structural and connectivity information from the directed hypergraph topology and significantly outperforms state-of-the-art models.

Xihang Meng, Hao Peng, Guangjie Zeng et al. · 0 citations
Jul 2026

Comprehensive, Efficient Large-Scale Community Detection via Structural Entropy Game

A novel heuristic community detection algorithm, termed CoDeSEG, which identifies communities by minimizing the network's two-dimensional structural entropy within a potential game framework, and introduces a structural entropy-based node overlapping heuristic for detecting overlapping communities, with a near-linear t...

Pu Li, Yantuan Xian, Hao Peng et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.