Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Deep Representations for Time-varying Brain Datasets Sikun Lin Shuyun Tang Scott T. Grafton Ambuj K. Singh AI4CE 29 6 0 23 May 2022
Graph-Based Methods for Discrete Choice K. Tomlinson Austin R. Benson 13 3 0 23 May 2022
Revisiting the role of heterophily in graph representation learning: An edge classification perspective Jincheng Huang P. Li Ruifang Huang Chen Na Acong Zhang 45 13 0 23 May 2022
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation Daisuke Kikuta Toyotaro Suzumura Md. Mostafizur Rahman Yuya Hirate Satyen Abrol Manoj Kondapaka Takuma Ebisu Pablo S. Loyola 27 1 0 23 May 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 34 2 0 20 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue Chunhui Zhang Chuxu Zhang Hongfu Liu 47 31 0 19 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 39 54 0 19 May 2022
A Simple Yet Effective SVD-GCN for Directed Graphs Chunya Zou Andi Han Lequan Lin Junbin Gao GNN 71 7 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Yangqiu Song Jian Pei 47 104 0 16 May 2022
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning Huijuan Wang Siming Dai Weiyue Su Hui Zhong Zeyang Fang Zhengjie Huang Shi Feng Zeyu Chen Yu Sun Dianhai Yu 35 16 0 13 May 2022
GPN: A Joint Structural Learning Framework for Graph Neural Networks Qianggang Ding Deheng Ye Tingyang Xu P. Zhao 26 0 0 12 May 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 20 23 0 11 May 2022
NDGGNET-A Node Independent Gate based Graph Neural Networks Ye Tang Xuesong Yang Xinrui Liu Xiwei Zhao Zhangang Lin Changping Peng GNN 27 0 0 11 May 2022
Simple Contrastive Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu GNN 49 110 0 11 May 2022
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction Yiwei Wang Muhao Chen Wenxuan Zhou Yujun Cai Keli Zhang Bryan Hooi GNN 17 9 0 08 May 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis Yiwei Wang Muhao Chen Wenxuan Zhou Yujun Cai Keli Zhang Dayiheng Liu Baosong Yang Juncheng Liu Bryan Hooi CML 22 51 0 08 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 34 14 0 07 May 2022
Optimal Propagation for Graph Neural Networks Beidi Zhao Boxin Du Zhe Xu Liangyue Li Yangqiu Song GNN 20 0 0 06 May 2022
Spiking Graph Convolutional Networks Zulun Zhu Jiaying Peng Jintang Li Liang Chen Qi Yu Siqiang Luo GNN 25 46 0 05 May 2022
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks Jiongyu Guo Defang Chen Can Wang FedML 21 4 0 05 May 2022
Predicting vacant parking space availability zone-wisely: a graph based spatio-temporal prediction approach Yajing Feng Qian Hu Zhenzhou Tang 24 4 0 03 May 2022
HL-Net: Heterophily Learning Network for Scene Graph Generation Xin Lin Changxing Ding Yibing Zhan Zijian Li Dacheng Tao 31 38 0 03 May 2022
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation Yuansheng Wang Wangbin Sun Kun Xu Zulun Zhu Liang Chen Zibin Zheng 21 4 0 02 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 37 29 0 27 Apr 2022
SCGC : Self-Supervised Contrastive Graph Clustering Gayan K. Kulatilleke Marius Portmann Shekhar S. Chandra 44 8 0 27 Apr 2022
Completing Networks by Learning Local Connection Patterns Zhang Zhang Ruyi Tao Yongzai Tao Mingze Qi Jiang Zhang GNN 13 0 0 25 Apr 2022
$All-optical graph representation learning using integrated diffractive photonic computing units$ All-optical graph representation learning using integrated diffractive photonic computing units Tao Yan Rui Yang Ziyang Zheng Xing Lin H. Xiong Qionghai Dai GNN 19 58 0 23 Apr 2022
Detecting Topology Attacks against Graph Neural Networks Senrong Xu Yuan Yao Liangyue Li Wei Yang F. Xu Yangqiu Song 47 3 0 21 Apr 2022
GUARD: Graph Universal Adversarial Defense Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 33 8 0 20 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 27 2 0 19 Apr 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization Menglin Yang Min Zhou Jiahong Liu Defu Lian Irwin King 19 88 0 18 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 2022
Are We Really Making Much Progress in Text Classification? A Comparative Review Lukas Galke Andor Diera Bao Xin Lin Bhakti Khera Tim Meuser Tushar Singhal Fabian Karl A. Scherp VLM 37 4 0 08 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation Yinan Zhang Pei Wang Congcong Liu Xiwei Zhao Hao Qi Jie He Junsheng Jin Changping Peng Zhangang Lin Jingping Shao GNN 35 6 0 08 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 24 6 0 07 Apr 2022
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020 Zhen Xu Lanning Wei Huan Zhao Rex Ying Quanming Yao Wei-Wei Tu Isabelle M Guyon AI4CE 38 0 0 06 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 49 109 0 04 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment Junseok Lee Yunhak Oh Yeonjun In Namkyeong Lee Dongmin Hyun Chanyoung Park 27 12 0 04 Apr 2022
Preventing Over-Smoothing for Hypergraph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Yang Li 28 23 0 31 Mar 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 19 51 0 30 Mar 2022
Understanding Graph Convolutional Networks for Text Classification S. Han Zihan Yuan Kunze Wang Siqu Long Josiah Poon GNN 29 16 0 30 Mar 2022
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection VS Vibashan Poojan Oza Vishal M. Patel 32 66 0 29 Mar 2022
End-to-End Active Speaker Detection Juan Carlos León Alcázar M. Cordes Chen Zhao Guohao Li 29 27 0 27 Mar 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization Wei Dong Junsheng Wu Yi-wei Luo Zongyuan Ge Peifeng Wang SSL 42 19 0 23 Mar 2022
Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models Wanshui Li Pasquale Minervini OOD 22 1 0 20 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization Xiaojun Ma Hanyue Chen Guojie Song 30 3 0 20 Mar 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 54 24 0 19 Mar 2022
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily Xiaojun Ma Qinkai Chen Yuanyi Ren Guojie Song Liang Wang 25 22 0 19 Mar 2022
Graph Convolutional Neural Networks Sensitivity under Probabilistic Error Model Xinjue Wang Esa Ollila S. Vorobyov AAML 36 1 0 15 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 38 4 0 15 Mar 2022