39 citations · 64 across the 9 of their papers we have counts for
4 papers · 1 filter
Meta Reinforcement Learning with Task Embedding and Shared Policy
Lin Lan, Zhenguo Li, Xiaohong Guan +1
Despite significant progress, deep reinforcement learning (RL) suffers from data-inefficiency and limited generalization. Recent efforts apply meta-learning to learn a meta-learner…
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…
A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets
Pinghui Wang, Yiyan Qi, Yuanming Zhang +4
Estimating set similarity and detecting highly similar sets are fundamental problems in areas such as databases, machine learning, and information retrieval. MinHash is a well-know…
A Fast Sketch Method for Mining User Similarities over Fully Dynamic Graph Streams
Peng Jia, Pinghui Wang, Jing Tao +1
Many real-world networks such as Twitter and YouTube are given as fully dynamic graph streams represented as sequences of edge insertions and deletions. (e.g., users can subscribe…