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20172022
most citedAdversarial Graph Augmentation to Improve Graph Contrastive Learning

142 citations · 504 across the 29 of their papers we have counts for

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5 papers · 1 filter

cs.SI202110 cited

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…

cs.SI20205 cited

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…

cs.SI20203 cited

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…

cs.SI2019

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…

cs.SI20172 cited

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…