117 citations · 924 across the 105 of their papers we have counts for
7 papers · 1 filter
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh +4
Learning on graphs has attracted significant attention in the learning community due to numerous real-world applications. In particular, graph neural networks (GNNs), which take nu…
Reconstruction of Sets of Strings from Prefix/Suffix Compositions
Ryan Gabrys, Srilakshmi Pattabiraman, Olgica Milenkovic
The problem of reconstructing strings from substring information has found many applications due to its importance in genomic data sequencing and DNA- and polymer-based data storag…
Highly Scalable and Provably Accurate Classification in Poincare Balls
Eli Chien, Chao Pan, Puoya Tabaghi +1
Many high-dimensional and large-volume data sets of practical relevance have hierarchical structures induced by trees, graphs or time series. Such data sets are hard to process in…
Optimal Stopping Methodology for the Secretary Problem with Random Queries
George V. Moustakides, Xujun Liu, Olgica Milenkovic
Candidates arrive sequentially for an interview process which results in them being ranked relative to their predecessors. Based on the ranks available at each time, one must devel…
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien, Chao Pan, Jianhao Peng +1
Hypergraphs are used to model higher-order interactions amongst agents and there exist many practically relevant instances of hypergraph datasets. To enable efficient processing of…
Semiquantitative Group Testing in at Most Two Rounds
Mahdi Cheraghchi, Ryan Gabrys, Olgica Milenkovic
Semiquantitative group testing (SQGT) is a pooling method in which the test outcomes represent bounded intervals for the number of defectives. Alternatively, it may be viewed as an…