v1v2 (latest)

A Class-Aware Representation Refinement Framework for Graph Classification

2 September 2022

Yiping Ke

Papers citing "A Class-Aware Representation Refinement Framework for Graph Classification"

23 / 23 papers shown

Title
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification S. Shi Kai Qiao Shuai Yang Linyuan Wang Jian Chen B. Yan AI4CE 38 29 0 25 May 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 93 176 0 23 Feb 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 178 1,243 0 04 Nov 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 52 157 0 12 Oct 2020
Graph Cross Networks with Vertex Infomax Pooling Maosen Li Siheng Chen Ya Zhang Ivor W. Tsang 104 60 0 05 Oct 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong Yatao Bian Tingyang Xu Wei-yang Xie Ying Wei Wenbing Huang Junzhou Huang AI4CE 141 25 0 18 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 311 2,752 0 02 May 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 79 131 0 10 Jan 2020
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 88 178 0 14 Nov 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 79 65 0 26 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 113 1,346 0 25 Jul 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 186 1,128 0 17 Apr 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 256 1,904 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 801 8,579 0 03 Jan 2019
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 106 465 0 08 Dec 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 259 7,705 0 01 Oct 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 109 1,945 0 27 Feb 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,331 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,496 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 429 2,480 0 10 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 500 14,371 0 02 Dec 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 155 3,595 0 21 Nov 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 223 3,357 0 30 Sep 2015