142 citations · 504 across the 29 of their papers we have counts for
6 papers · 1 filter
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.…
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…
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…
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…
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…
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…