Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification

11 May 2019

Papers citing "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"

13 / 13 papers shown

Title
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 0 0 25 Oct 2024
Multiscale Hodge Scattering Networks for Data Analysis Naoki Saito Stefan C. Schonsheck Eugene Shvarts 40 1 0 17 Nov 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 19 51 0 18 Dec 2022
Revisiting Embeddings for Graph Neural Networks S. Purchase A. Zhao Robert D. Mullins 16 3 0 19 Sep 2022
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 41 15 0 14 Sep 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue Chunhui Zhang Chuxu Zhang Hongfu Liu 35 31 0 19 May 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 19 280 0 07 Feb 2022
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 51 143 0 21 Sep 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 16 72 0 24 Aug 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 65 0 12 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 24 447 0 10 Jun 2021
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 34 63 0 26 Sep 2019