Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation Nikolai Kalischek T. Peters Jan Dirk Wegner Konrad Schindler DiffM 30 12 0 23 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 41 8 0 21 Nov 2022
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 33 19 0 20 Nov 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Hong Wang Jieyu Zhang Qi Zhu Wei Huang Kenji Kawaguchi X. Xiao 41 11 0 20 Nov 2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju Yujie Fan Chuxu Zhang Yanfang Ye AAML 30 35 0 19 Nov 2022
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning Xiaocheng Lu Ziming Liu Song Guo Jingcai Guo CoGe 38 30 0 19 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 23 2 0 19 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 22 40 0 17 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 46 63 0 16 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network Heng Chang Bingbing Xu Qi Cao Yige Yuan Huawei Shen 21 0 0 16 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 23 0 0 15 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 45 20 0 12 Nov 2022
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs Claudia Vanea Jonathan Campbell Omri Dodi L. Salumäe K. Meir ... H. Hochner T. Laisk L. Ernst C. Lindgren C. Nellåker 27 3 0 11 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 38 12 0 11 Nov 2022
Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling Zhichao Duan Xiuxing Li Zhenyu Li Zhuo Wang Jianyong Wang 16 6 0 10 Nov 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 40 2 0 09 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 32 6 0 08 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 31 56 0 08 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 44 5 0 07 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 30 33 0 06 Nov 2022
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG Xueqi Gao Chao Xu Yihang Song Jing Hu Jian Xiao Zhaopeng Meng 34 3 0 06 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass Xin Huang Jongryool Kim Brad Rees Chul-Ho Lee GNN 29 4 0 06 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation Xin Zhou Jinglong Wang Yong Liu Xin Wu Zhiqi Shen Cyril Leung 27 15 0 05 Nov 2022
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 25 1 0 03 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 65 8 0 01 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 33 57 0 01 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 47 20 0 31 Oct 2022
When Do We Need Graph Neural Networks for Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Xiaoming Chang Doina Precup 35 0 0 30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 54 27 0 30 Oct 2022
Space-Time Graph Neural Networks with Stochastic Graph Perturbations Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro 35 4 0 28 Oct 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 25 0 0 27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 41 0 0 26 Oct 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu Liang Tong Gaolei Li Xiapu Luo Kai Zhou 35 4 0 25 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 22 3 0 25 Oct 2022
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning Hanxuan Yang Ruike Zhang Qingchao Kong Wenji Mao GNN 32 3 0 24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 30 5 0 24 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 21 26 0 24 Oct 2022
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections Junyuan Fang Haixian Wen Jiajing Wu Qi Xuan Zibin Zheng Chi K. Tse AAML 52 22 0 23 Oct 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 45 22 0 21 Oct 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 38 1 0 21 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 37 15 0 19 Oct 2022
EGG-GAE: scalable graph neural networks for tabular data imputation Lev Telyatnikov Simone Scardapane GNN 31 13 0 19 Oct 2022
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 39 2 0 18 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 21 50 0 18 Oct 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 30 14 0 17 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 40 16 0 17 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 24 20 0 15 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 30 7 0 15 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 46 10 0 14 Oct 2022