From the 1 of 6 linked papers with an AI index.
6 papers
Comprehensive, Efficient Large-Scale Community Detection via Structural Entropy Game
Pu Li, Yantuan Xian, Hao Peng +4
The paper introduces CoDeSEG, a heuristic algorithm that detects non‑overlapping, overlapping, and dynamic communities in very large graphs by minimizing a two‑dimensional structur…
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
Hao Peng, Xiang Huang, Shuo Sun +2
DBSCAN, a well-known density-based clustering algorithm, has gained widespread popularity and usage due to its effectiveness in identifying clusters of arbitrary shapes and handlin…
Community Detection in Large-Scale Complex Networks via Structural Entropy Game
Yantuan Xian, Pu Li, Hao Peng +3
Community detection is a critical task in graph theory, social network analysis, and bioinformatics, where communities are defined as clusters of densely interconnected nodes. Howe…
Hierarchical Superpixel Segmentation via Structural Information Theory
Minhui Xie, Hao Peng, Pu Li +5
Superpixel segmentation is a foundation for many higher-level computer vision tasks, such as image segmentation, object recognition, and scene understanding. Existing graph-based s…
SocialED: A Python Library for Social Event Detection
Kun Zhang, Xiaoyan Yu, Pu Li +2
SocialED is a comprehensive, open-source Python library designed to support social event detection (SED) tasks, integrating 19 detection algorithms and 14 diverse datasets. It prov…
Spiking Graph Neural Network on Riemannian Manifolds
Li Sun, Zhenhao Huang, Qiqi Wan +2
Graph neural networks (GNNs) have become the dominant solution for learning on graphs, the typical non-Euclidean structures. Conventional GNNs, constructed with the Artificial Neur…