142 citations · 504 across the 29 of their papers we have counts for
5 papers · 1 filter
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Changlin Wan, Muhan Zhang, Wei Hao +3
Hypergraph offers a framework to depict the multilateral relationships in real-world complex data. Predicting higher-order relationships, i.e hyperedge, becomes a fundamental probl…
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
Meng Liu, Nate Veldt, Haoyu Song +2
Hypergraph-based machine learning methods are now widely recognized as important for modeling and using higher-order and multiway relationships between data objects. Local hypergra…
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Yen-Yu Chang, Pan Li, Rok Sosic +3
Edge streams are commonly used to capture interactions in dynamic networks, such as email, social, or computer networks. The problem of detecting anomalies or rare events in edge s…
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Pan Li, Eli Chien, Olgica Milenkovic
Landing probabilities (LP) of random walks (RW) over graphs encode rich information regarding graph topology. Generalized PageRanks (GPR), which represent weighted sums of LPs of R…
Motif Clustering and Overlapping Clustering for Social Network Analysis
Pan Li, Hoang Dau, Gregory Puleo +1
Motivated by applications in social network community analysis, we introduce a new clustering paradigm termed motif clustering. Unlike classical clustering, motif clustering aims t…