activity
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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Showing 2019Show all

6 papers · 1 filter

cs.LG2019

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

Carl Yang, Yichen Feng, Pan Li +2

In this work, we propose to study the utility of different meta-graphs, as well as how to simultaneously leverage multiple meta-graphs for HIN embedding in an unsupervised manner.…

cs.LG20194 cited

Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation

Ruben Becker, Imane Hafnaoui, Michael E. Houle +2

Axis-aligned subspace clustering generally entails searching through enormous numbers of subspaces (feature combinations) and evaluation of cluster quality within each subspace. In…

cs.LG2019

Latent Multi-Criteria Ratings for Recommendations

Pan Li, Alexander Tuzhilin

Multi-criteria recommender systems have been increasingly valuable for helping consumers identify the most relevant items based on different dimensions of user experiences. However…

cs.IR20191 cited

Latent Unexpected and Useful Recommendation

Pan Li, Alexander Tuzhilin

Providing unexpected recommendations is an important task for recommender systems. To do this, we need to start from the expectations of users and deviate from these expectations w…

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.LG2019

Quadratic Decomposable Submodular Function Minimization: Theory and Practice (Computation and Analysis of PageRank over Hypergraphs)

Pan Li, Niao He, Olgica Milenkovic

We introduce a new convex optimization problem, termed quadratic decomposable submodular function minimization (QDSFM), which allows to model a number of learning tasks on graphs a…