62 citations · 211 across the 14 of their papers we have counts for
4 papers · 1 filter
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences
Peng Qi, Guangtao Wang, Jing Huang
Distilling supervision signal from a long sequence to make predictions is a challenging task in machine learning, especially when not all elements in the input sequence contribute…
Multi-hop Attention Graph Neural Network
Guangtao Wang, Rex Ying, Jing Huang +1
Self-attention mechanism in graph neural networks (GNNs) led to state-of-the-art performance on many graph representation learning tasks. Currently, at every layer, attention is co…
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang, Rex Ying, Jing Huang +1
Graph Attention Networks (GATs) are the state-of-the-art neural architecture for representation learning with graphs. GATs learn attention functions that assign weights to nodes so…
A Feature Subset Selection Algorithm Automatic Recommendation Method
Guangtao Wang, Qinbao Song, Heli Sun +3
Many feature subset selection (FSS) algorithms have been proposed, but not all of them are appropriate for a given feature selection problem. At the same time, so far there is rare…