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DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

International Conference on Learning Representations (ICLR), 2019

25 July 2019

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Papers citing "DropEdge: Towards Deep Graph Convolutional Networks on Node Classification"

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Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and AttackIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 214 4 0 10 Mar 2024
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A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Nan Yin Senzhang Wang Xinwang Liu Philip S. Yu Ming Zhang AI4CE 289 73 0 07 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 127 7 0 03 Mar 2024
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media Jiajun Zhang Zhixun Li Qiang Liu Shu Wu Liang Wang 143 5 0 29 Feb 2024
Graph Learning with Distributional Edge Layouts Xinjian Zhao Chaolong Ying Tianshu Yu 210 4 0 26 Feb 2024
GraphEdit: Large Language Models for Graph Structure Learning Zirui Guo Lianghao Xia Yanhua Yu Yuling Wang Zixuan Yang Zhiyong Huang Chao Huang 341 42 0 23 Feb 2024
Efficient data selection employing Semantic Similarity-based Graph Structures for model training Roxana Petcu Subhadeep Maji 99 2 0 22 Feb 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction Junjian Lu Houcheng Su Dmitrii Kobylianski Etienne Dreyer Eilam Gross Houcheng Su 144 3 0 18 Feb 2024
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking Simon Zhang Cheng Xin Tamal K. Dey 150 2 0 17 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Mingxuan Ju Neil Shah Nitesh Chawla AI4CE 244 4 0 15 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 144 12 0 13 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations Xu Zheng Farhad Shirani Tianchun Wang Shouwei Gao Wenqian Dong Wei Cheng Dongsheng Luo 177 0 0 07 Feb 2024
TEDDY: Trimming Edges with Degree-based Discrimination strategY Hyunjin Seo Jihun Yun Eunho Yang 182 3 0 02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang Xinfeng Li Kun Wang Cunchun Li Yongduo Sui Kai Wang Yuxuan Liang Dawei Cheng Shirui Pan Tianlong Chen 150 14 0 02 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and CondensationInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei Jin DD 340 71 0 29 Jan 2024
Binary structured physics-informed neural networks for solving equations with rapidly changing solutionsJournal of Computational Physics (JCP), 2024 Yanzhi Liu Ruifan Wu Ying Jiang PINN 194 10 0 23 Jan 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashingIndustrial Conference on Data Mining (IDM), 2023 Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu 150 17 0 23 Jan 2024
Truck Parking Usage Prediction with Decomposed Graph Neural Networks Rei Tamaru Yang Cheng Steven T. Parker Ernie Perry Bin Ran S. Ahn 340 0 0 23 Jan 2024
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels Fali Wang Tianxiang Zhao Suhang Wang 283 11 0 18 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 284 5 0 18 Jan 2024
Deep Efficient Private Neighbor Generation for Subgraph Federated LearningSDM (SDM), 2024 Ke Zhang Lichao Sun Bolin Ding Siu-Ming Yiu Carl Yang FedML 168 17 0 09 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement PredictionInternational Conference on Agents and Artificial Intelligence (ICAART), 2024 Zinuo You Zijian Shi Hongbo Bo John Cartlidge Li Zhang Yan Ge AIFin DiffM 133 11 0 03 Jan 2024
GEN: A Practical Alternative to Graph Transformers for Long-Range Graph Modeling Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 275 0 0 02 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 425 17 0 27 Dec 2023
Combinatorial music generation model with song structure graph analysis Seonghyeon Go Kyogu Lee 148 2 0 24 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 189 9 0 18 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise ToleranceInternational Conference on Information and Knowledge Management (CIKM), 2023 Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 265 14 0 13 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNsAAAI Conference on Artificial Intelligence (AAAI), 2023 Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 223 3 0 13 Dec 2023
JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix MultiplicationIEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2023 Qiang Fu Thomas B. Rolinger H. H. Huang 185 6 0 09 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 176 0 0 08 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive LearningInternational Conference on Learning Representations (ICLR), 2023 Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 303 4 0 08 Dec 2023
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned ExpertsNeural Information Processing Systems (NeurIPS), 2023 Shirley Wu Kaidi Cao Bruno Ribeiro James Zou J. Leskovec OOD 197 12 0 07 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery TicketsLOG IN (LOG IN), 2023 Jiale Yan Hiroaki Ito Ángel López García-Arias Yasuyuki Okoshi Hikari Otsuka Kazushi Kawamura Thiem Van Chu Masato Motomura 243 5 0 06 Dec 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive StudyInternational Conference on Computing Communication and Networking Technologies (ICCCNT), 2023 Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 198 0 0 21 Nov 2023
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks Nasimeh Heydaribeni Xinrui Zhan Ruisi Zhang Tina Eliassi-Rad F. Koushanfar AI4CE 248 24 0 15 Nov 2023
Classification of developmental and brain disorders via graph convolutional aggregationCognitive Computation (Cogn. Comput.), 2023 Ibrahim Salim A. B. Hamza MedIm 150 16 0 13 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lio Yu Guang Wang 171 14 0 09 Nov 2023
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 154 0 0 06 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Zeyu Song Ehsanul Kabir Shagufta Mehnaz 241 1 0 03 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication ChannelInternational Conference on Learning Representations (ICLR), 2023 Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Jun Liu Bo Han 262 11 0 02 Nov 2023
Combating Bilateral Edge Noise for Robust Link PredictionNeural Information Processing Systems (NeurIPS), 2023 Zhanke Zhou Jiangchao Yao Jiaxu Liu Xiawei Guo Quanming Yao Li He Liang Wang Bo Zheng Bo Han AAML NoLa 209 20 0 02 Nov 2023
Efficient Subgraph GNNs by Learning Effective Selection PoliciesInternational Conference on Learning Representations (ICLR), 2023 Beatrice Bevilacqua Moshe Eliasof E. Meirom Bruno Ribeiro Haggai Maron 197 17 0 30 Oct 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial ComplexesNeural Information Processing Systems (NeurIPS), 2023 Cai Zhou Xiyuan Wang Muhan Zhang 156 19 0 30 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 143 0 0 26 Oct 2023
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property PredictionInternational Conference on Learning Representations (ICLR), 2023 Nima Shoghi Adeesh Kolluru John R. Kitchin Zachary W. Ulissi C. L. Zitnick Brandon M. Wood AI4CE 272 50 0 25 Oct 2023
Graph Neural Networks with a Distribution of Parametrized GraphsInternational Conference on Machine Learning (ICML), 2023 See Hian Lee Feng Ji Kelin Xia Wee Peng Tay 243 1 0 25 Oct 2023
Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023 Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 372 26 0 24 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion RecognitionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 Hongxiang Gao Xiangyao Wang Zhenghua Chen Ruibing Jin Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 161 23 0 22 Oct 2023
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction Seohyeon Cha Honggu Kang Joonhyuk Kang 326 4 0 17 Oct 2023