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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown

Title
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training Ziwei Fan Zhiwei Liu Shelby Heinecke Jianguo Zhang Haiquan Wang Caiming Xiong Philip S. Yu VLM 67 14 0 12 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 74 5 0 12 May 2023
Graph Neural Network for Accurate and Low-complexity SAR ATR Bingyi Zhang Sasindu Wijeratne Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 46 5 0 11 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 40 0 0 10 May 2023
Feature Expansion for Graph Neural Networks Jiaqi Sun Lin Zhang Guan-Hong Chen Kun Zhang Peng Xu Yujiu Yang GNN 51 13 0 10 May 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang Wenjie Feng Yanming Shen Bryan Hooi 117 5 0 10 May 2023
Regular Splitting Graph Network for 3D Human Pose Estimation Md. Tanvir Hassan A. Ben Hamza 3DH 92 21 0 09 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen Yihong Luo Jing Tang Liang Yang Si-Huang Qiu Chuan Wang Xiaochun Cao 74 22 0 07 May 2023
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network Xiaoyu Yang Lijian Xu Simon Yu Qing Xia Hongsheng Li Shaoting Zhang 72 4 0 07 May 2023
Adaptive Graph Convolutional Subspace Clustering Lai Wei Zhengwei Chen Jun Yin Changming Zhu Rigui Zhou Jin Liu 61 11 0 05 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 97 4 0 04 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 120 16 0 04 May 2023
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation Chenzhang Shang Yupeng Hou Wayne Xin Zhao Yaliang Li Jing Zhang 110 12 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 110 24 0 03 May 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 154 23 0 01 May 2023
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability Sitao Luan Chenqing Hua Minkai Xu Qincheng Lu Jiaqi Zhu Xiaoming Chang Jie Fu J. Leskovec Doina Precup 93 5 0 25 Apr 2023
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki GNN SSL 62 10 0 24 Apr 2023
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki 58 5 0 24 Apr 2023
Graph Neural Networks for Text Classification: A Survey Kunze Wang Yihao Ding S. Han FaML GNN 97 29 0 23 Apr 2023
A Review of Deep Learning for Video Captioning Moloud Abdar Meenakshi Kollati Swaraja Kuraparthi Farhad Pourpanah Daniel J. McDuff ... Shuicheng Yan Abduallah A. Mohamed Abbas Khosravi Min Zhang Fatih Porikli 3DV 118 22 0 22 Apr 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 162 8 0 21 Apr 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 72 11 0 20 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 95 8 0 15 Apr 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 64 23 0 14 Apr 2023
RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection S. Shi Kai Qiao J. Yang Baojie Song Jian Chen Binghai Yan 79 6 0 14 Apr 2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs Zhaoliang Chen Zhihao Wu Luying Zhong Claudia Plant Shiping Wang Wenzhong Guo 69 9 0 13 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 181 163 0 11 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 68 116 0 10 Apr 2023
Graph Enabled Cross-Domain Knowledge Transfer S. Yao 27 0 0 07 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 57 29 0 06 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 107 6 0 06 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 94 60 0 06 Apr 2023
FMGNN: Fused Manifold Graph Neural Network Cheng Deng Fan Xu Jiaxing Ding Luoyi Fu Weinan Zhang Xinbing Wang 111 3 0 03 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 68 2 0 31 Mar 2023
Attention is Not Always What You Need: Towards Efficient Classification of Domain-Specific Text Yasmen Wahba N. Madhavji John Steinbacher 66 0 0 31 Mar 2023
GRAF: Graph Attention-aware Fusion Networks Ziynet Nesibe Kesimoglu S. Bozdag GNN 35 4 0 29 Mar 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 86 7 0 28 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 102 33 0 27 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 61 21 0 26 Mar 2023
FairGAT: Fairness-aware Graph Attention Networks Öykü Deniz Köse Yanning Shen 75 9 0 26 Mar 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern Menze GNN 95 7 0 25 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 76 5 0 24 Mar 2023
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation Bingyi Zhang Viktor Prasanna GNN 40 5 0 22 Mar 2023
Edge Deep Learning Model Protection via Neuron Authorization Jinyin Chen Haibin Zheng Tianming Liu Rongchang Li Yao Cheng Xuhong Zhang S. Ji FedML 56 0 0 22 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 56 6 0 22 Mar 2023
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models Myriam Bontonou Anais Haget Maria Boulougouri J. Arbona Benjamin Audit Pierre Borgnat 27 2 0 19 Mar 2023
Distill n' Explain: explaining graph neural networks using simple surrogates Tamara A. Pereira Erik Nasciment Lucas Resck Diego Mesquita Amauri Souza 84 17 0 17 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 76 4 0 14 Mar 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks Binghui Wang Meng Pang Yun Dong AAML 64 16 0 10 Mar 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework Zhenshuo Zhang Yun Zhu Haizhou Shi Siliang Tang 70 1 0 09 Mar 2023