2 code implementations • International Joint Conference on Artificial Intelligence 2021 • Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang
To explore the potential of edges, EAGM learns edge attention on the assignment graph to 1) reveal the impact of each edge on graph matching, as well as 2) adjust the learning of edge representations adaptively.
Ranked #10 on Graph Matching on PASCAL VOC (matching accuracy metric)
no code implementations • 14 May 2019 • Penghui Sun, Jingwei Qu, Xiaoqing Lyu, Haibin Ling, Zhi Tang
Graph convolutional neural networks (GCNNs) have been attracting increasing research attention due to its great potential in inference over graph structures.