1.3k citations · 2.2k across the 67 of their papers we have counts for
4 papers · 2 filters
Coin-flipping, ball-dropping, and grass-hopping for generating random graphs from matrices of edge probabilities
Arjun S. Ramani, Nicole Eikmeier, David F. Gleich
Common models for random graphs, such as Erdős-Rényi and Kronecker graphs, correspond to generating random adjacency matrices where each entry is non-zero based on a large matrix o…
Retrospective Higher-Order Markov Processes for User Trails
Tao Wu, David Gleich
Users form information trails as they browse the web, checkin with a geolocation, rate items, or consume media. A common problem is to predict what a user might do next for the pur…
Multimodal Network Alignment
Huda Nassar, David F. Gleich
A multimodal network encodes relationships between the same set of nodes in multiple settings, and network alignment is a powerful tool for transferring information and insight bet…
Deconvolving Feedback Loops in Recommender Systems
Ayan Sinha, David F. Gleich, Karthik Ramani
Collaborative filtering is a popular technique to infer users' preferences on new content based on the collective information of all users preferences. Recommender systems then use…