Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018

Xiao-Ming Wu

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

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Title
G $^3$ SR: Global Graph Guided Session-based Recommendation Zhiwei Deng Changdong Wang Ling Huang Jianhuang Lai Philip S. Yu 21 13 0 12 Mar 2022
Transition Relation Aware Self-Attention for Session-based Recommendation Guanghui Zhu Haojun Hou Jingfan Chen Chun Yuan Jiaming Ji GNN 24 0 0 12 Mar 2022
GRAND+: Scalable Graph Random Neural Networks Wenzheng Feng Yuxiao Dong Tinglin Huang Ziqi Yin Xu Cheng Evgeny Kharlamov Jie Tang GNN 30 41 0 12 Mar 2022
Deep Class Incremental Learning from Decentralized Data Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 33 11 0 11 Mar 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling Junhua Ma Jiajun Li Xueming Li Xu Li 3DPC GNN 15 1 0 11 Mar 2022
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice Peihao Wang Wenqing Zheng Tianlong Chen Zhangyang Wang ViT 33 127 0 09 Mar 2022
Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding Daizong Liu Xiang Fang Wei Hu Pan Zhou 32 37 0 06 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 42 59 0 01 Mar 2022
Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks Jin Zeng Yang Liu Gene Cheung Wei Hu 23 4 0 28 Feb 2022
Differential equation and probability inspired graph neural networks for latent variable learning Zhuangwei Shi 19 3 0 28 Feb 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision P. Elinas Edwin V. Bonilla AI4CE 34 5 0 25 Feb 2022
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset Dan Saattrup Nielsen Ryan McConville 22 72 0 23 Feb 2022
Message passing all the way up Petar Velickovic 121 64 0 22 Feb 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 33 37 0 22 Feb 2022
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators Beibei Wang Bo Jiang AI4CE 19 2 0 18 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 38 12 0 17 Feb 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph Han Shi Jiahui Gao Hang Xu Xiaodan Liang Zhenguo Li Lingpeng Kong Stephen M. S. Lee James T. Kwok 30 71 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 23 18 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 34 220 0 16 Feb 2022
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs Feng Xia Lei Wang Tao Tang Xin Chen Xiangjie Kong G. Oatley Irwin King GNN 44 32 0 16 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 33 216 0 14 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 46 12 0 10 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 36 241 0 07 Feb 2022
3D Point Cloud Registration with Learning-based Matching Algorithm Rintaro Yanagi Atsushi Hashimoto Shusaku Sone Naoya Chiba Jiaxin Ma Yoshitaka Ushiku 3DPC 39 1 0 04 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 21 49 0 02 Feb 2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination Jie Chen Weiqi Liu Jianghuai Pu 37 10 0 01 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings Krzysztof Sadowski Michal Szarmach Eddie Mattia 24 5 0 01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 40 14 0 31 Jan 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 32 0 0 30 Jan 2022
Over-smoothing Effect of Graph Convolutional Networks Fang Sun 36 1 0 30 Jan 2022
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization Bingchao Chen Ronald Y. Chang 24 16 0 29 Jan 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Qing Cui Jun Zhou 99 55 0 27 Jan 2022
Convergence of Invariant Graph Networks Chen Cai Yusu Wang 66 4 0 25 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 27 12 0 23 Jan 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 29 21 0 22 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 51 261 0 21 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 27 33 0 20 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 33 144 0 19 Jan 2022
Evidence-aware Fake News Detection with Graph Neural Networks Weizhi Xu Jun Wu Qiang Liu Shu Wu Liang Wang GNN 32 80 0 18 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 34 45 0 14 Jan 2022
Structure and position-aware graph neural network for airway labeling Weiyi Xie Colin Jacobs Jean-Paul Charbonnier Bram van Ginneken 32 11 0 12 Jan 2022
Stratified Graph Spectra Fanchao Meng M. Orr Samarth Swarup 21 0 0 10 Jan 2022
Supervised Contrastive Learning for Recommendation Chun Yang 19 37 0 10 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 56 2 0 04 Jan 2022
Exploring Motion and Appearance Information for Temporal Sentence Grounding Daizong Liu Xiaoye Qu Pan Zhou Yang Liu 37 41 0 03 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei-dong Jin Hui Liu Suhang Wang NoLa 41 94 0 01 Jan 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 27 4 0 31 Dec 2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 38 3 0 30 Dec 2021
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 42 313 0 30 Dec 2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 29 42 0 29 Dec 2021