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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

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Title
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Huidong Liang Haitz Sáez de Ocáriz Borde Baskaran Sripathmanathan Michael M. Bronstein Xiaowen Dong GNN 131 1 0 12 Mar 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders Jongwon Park Heesoo Jung Hogun Park 153 1 0 10 Mar 2025
Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature Asela Hevapathige Ahad N. Zehmakan Qing Wang 99 0 0 03 Mar 2025
Quality Measures for Dynamic Graph Generative Models Ryien Hosseini F. Simini V. Vishwanath Rebecca Willett Henry Hoffmann EGVM 61 0 0 03 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 116 0 0 03 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 127 1 0 02 Mar 2025
Graph Augmentation for Cross Graph Domain Generalization Guanzi Chen Jiying Zhang Yang Li 136 0 0 25 Feb 2025
The Power of Graph Signal Processing for Chip Placement Acceleration Yuhang Liu H. Zhou Jia Wang Fan Yang Xuan Zeng L. Shang GNN 110 1 0 24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 256 3 0 24 Feb 2025
Scalable Graph Condensation with Evolving Capabilities Shengbo Gong Mohammad Hashemi Juntong Ni Carl Yang Wei Jin 140 3 0 24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 220 3 0 24 Feb 2025
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks Yuqi Liu Mengyu Li Fausto Giunchiglia Lan Huang Ximing Li Xiaoyue Feng Renchu Guan 89 0 0 21 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang 169 2 0 20 Feb 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees Ally Yalei Du Eric Huang Dravyansh Sharma 155 1 0 18 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 86 1 0 18 Feb 2025
A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs Jiaqi Wang Xinyi Wu James Cheng Yifei Wang 21 0 0 17 Feb 2025
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs Hao Li Hao Jiang Yuke Zheng Hao Sun Wenying Gong 60 0 0 17 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 159 3 0 13 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li John E. Hopcroft Kun He 142 1 0 12 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 185 0 0 10 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 271 2 0 05 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 155 0 0 02 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 294 21 0 28 Jan 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Jie Chen AI4CE 242 4 0 28 Jan 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Miao Hu Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 143 0 0 27 Jan 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xin He Yansen Wang Wenqi Fan Xu Shen Xin Juan Rui Miao Xin Wang 177 1 0 26 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 130 0 0 24 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Miao Hu Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 84 1 0 21 Jan 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen Guo Ye Yakun Wang Zhao Zhang Libang Zhang Daxin Wang Qing Cui Fuzhen Zhuang 219 2 0 17 Jan 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 153 1 0 17 Jan 2025
Graph Contrastive Learning on Multi-label Classification for Recommendations Jiayang Wu Wensheng Gan Huashen Lu Philip S. Yu 113 1 0 13 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 375 0 0 10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 97 0 0 08 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Miao Hu Zhilin Guo Rong-Hua Li Guoren Wang MU 114 2 0 06 Jan 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zijian Li 123 8 0 31 Dec 2024
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 154 1 0 29 Dec 2024
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck Xingcheng Fu Yisen Gao Beining Yang Yuxuan Wu Haodong Qian Qingyun Sun Xianxian Li DD 112 2 0 23 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 172 1 0 21 Dec 2024
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks Hai-Xiao Wang Zhichao Wang 123 1 0 18 Dec 2024
GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization Yiping Zhang Yuntao Shou Wei Ai Tao Meng Keqin Li CVBM 140 5 0 16 Dec 2024
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Yichun Yang Rong-Hua Li Meihao Liao Longlong Lin Guoren Wang 106 0 0 14 Dec 2024
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media Muhammad Arslan Manzoor Ruihong Zeng Dilshod Azizov Preslav Nakov Shangsong Liang 111 1 0 12 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 123 0 0 10 Dec 2024
Training MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 125 10 0 05 Dec 2024
Residual Hyperbolic Graph Convolution Networks Yangkai Xue Jindou Dai Zhipeng Lu Yuwei Wu Yunde Jia 157 4 0 05 Dec 2024
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale Kay Liu Jiahao Ding MohamadAli Torkamani Philip S. Yu 129 2 0 01 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Neil Shah Jiliang Tang AI4CE 254 4 0 30 Nov 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 158 1 0 29 Nov 2024
Perturbation Ontology based Graph Attention Networks Yansen Wang Jiadong Wang F. Wang Xianrui Li Hao Yin Bhiksha Raj 86 1 0 27 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye Wentao Zhang Hongzhi Yin 163 2 0 26 Nov 2024