1.5k citations · 3.2k across the 75 of their papers we have counts for
Showing 2019 · cs.LGShow all
3 papers · 2 filters
cs.LG2019★ 58 cited
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction
Fenyu Hu, Yanqiao Zhu, Shu Wu +3
Graph representation learning is of paramount importance for a variety of graph analytical tasks, ranging from node classification to community detection. Recently, graph convoluti…
cs.LG2019★ 1 cited
Fast Supervised Discrete Hashing
Jie Gui, Tongliang Liu, Zhenan Sun +2
Learning-based hashing algorithms are ``hot topics" because they can greatly increase the scale at which existing methods operate. In this paper, we propose a new learning-based ha…
cs.LG2019
Supervised Discrete Hashing with Relaxation
Jie Gui, Tongliang Liu, Zhenan Sun +2
Data-dependent hashing has recently attracted attention due to being able to support efficient retrieval and storage of high-dimensional data such as documents, images, and videos.…