Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification

6 April 2019

Papers citing "Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification"

6 / 6 papers shown

Title
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 29 18 0 14 Apr 2023
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning Zhaoliang Chen Lele Fu J. Yao Wenzhong Guo Claudia Plant Shiping Wang 30 117 0 16 Nov 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 28 1 0 26 Apr 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 44 38 0 19 Jan 2022
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 36 9 0 05 Oct 2021
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective Likang Wu Zhi Li Hongke Zhao Qi Liu Enhong Chen 36 16 0 27 May 2021