Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof E. Haber Eran Treister 3DPC GNN 33 26 0 15 Jul 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network Weijia Chen Yixin Cao Fuli Feng Xiangnan He Yongdong Zhang 13 2 0 14 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 53 1 0 12 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 37 7 0 10 Jul 2022
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Schaub Danai Koutra 37 6 0 10 Jul 2022
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 71 123 0 06 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 21 3 0 05 Jul 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 93 7 0 29 Jun 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 81 49 0 28 Jun 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows Shurui Gui Hao Yuan Jie Wang Qicheng Lao Kang Li Shuiwang Ji 43 12 0 26 Jun 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng Man Li Jia Li Fugee Tsung SSL 31 14 0 26 Jun 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 19 75 0 26 Jun 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 28 46 0 22 Jun 2022
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks Jinsong Chen Boyu Li Qiuting He Kun He 38 0 0 21 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 28 11 0 19 Jun 2022
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning Namyong Park Ryan Rossi Nesreen Ahmed Christos Faloutsos 27 7 0 18 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 32 21 0 18 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 43 39 0 18 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Bin Cui AAML 33 16 0 17 Jun 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search Wentao Zhang Zheyu Lin Yu Shen Yang Li Zhi-Xin Yang Bin Cui GNN AI4CE 35 5 0 17 Jun 2022
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection Yulin Zhu Y. Lai Kaifa Zhao Xi Luo Min Yuan Jun Wu Jian Ren Kai Zhou 38 1 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 45 99 0 15 Jun 2022
CLNode: Curriculum Learning for Node Classification Xiaowen Wei Xiuwen Gong Yibing Zhan Bo Du Yong Luo Wenbin Hu 30 27 0 15 Jun 2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge Zhizhi Yu Di Jin Jianguo Wei Ziyang Liu Yue Shang Yun Xiao Jiawei Han Lingfei Wu 37 4 0 15 Jun 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum Haiyang Yu Limei Wang Bokun Wang Meng Liu Tianbao Yang Shuiwang Ji GNN AI4CE 39 39 0 14 Jun 2022
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search Yingguang Yang Renyu Yang Yangyang Li Kai Cui Zhiqin Yang Yue Wang Jie Xu Haiyong Xie 35 45 0 14 Jun 2022
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 38 32 0 14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 41 105 0 10 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 37 4 0 09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 36 40 0 09 Jun 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN AI4CE 53 102 0 09 Jun 2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai Vasileios Ioannidis Soji Adeshina Zak Jost Christos Faloutsos George Karypis UQCV 28 1 0 09 Jun 2022
Neural Bandit with Arm Group Graph Yunzhe Qi Yikun Ban Jingrui He 33 10 0 08 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 52 8 0 08 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 33 36 0 07 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 24 14 0 06 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 45 26 0 06 Jun 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 38 11 0 03 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 27 95 0 03 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 32 20 0 03 Jun 2022
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification Kunze Wang S. Han Josiah Poon GNN 34 38 0 01 Jun 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 42 12 0 31 May 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 73 208 0 31 May 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 37 3 0 30 May 2022
NeuPSL: Neural Probabilistic Soft Logic Connor Pryor Charles Dickens Eriq Augustine Alon Albalak William Wang Lise Getoor NAI 24 33 0 27 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 38 43 0 27 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 40 4 0 27 May 2022
Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array Andre Xian Ming Chang Parth Khopkar Bashar Romanous Abhishek Chaurasia Patrick Estep Skyler Windh Douglas J Vanesko Sheik Dawood Beer Mohideen Eugenio Culurciello 65 6 0 26 May 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 70 52 0 26 May 2022
Not too little, not too much: a theoretical analysis of graph (over)smoothing Nicolas Keriven 59 92 0 24 May 2022