120 citations · 171 across the 30 of their papers we have counts for
4 papers · 1 filter
Representation Learning of Tangled Key-Value Sequence Data for Early Classification
Tao Duan, Junzhou Zhao, Shuo Zhang +2
Key-value sequence data has become ubiquitous and naturally appears in a variety of real-world applications, ranging from the user-product purchasing sequences in e-commerce, to ne…
Fast Gumbel-Max Sketch and its Applications
Yuanming Zhang, Pinghui Wang, Yiyan Qi +4
The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a non-negative vector) and its variants have been widely used in areas such…
Federated Learning over Coupled Graphs
Runze Lei, Pinghui Wang, Junzhou Zhao +6
Graphs are widely used to represent the relations among entities. When one owns the complete data, an entire graph can be easily built, therefore performing analysis on the graph i…
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu, Pinghui Wang, Long Chen +2
Predicting interactions between structured entities lies at the core of numerous tasks such as drug regimen and new material design. In recent years, graph neural networks have bec…