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
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 81 47 0 14 Jan 2022
Structure and position-aware graph neural network for airway labeling Weiyi Xie Colin Jacobs Jean-Paul Charbonnier Bram van Ginneken 42 11 0 12 Jan 2022
Stratified Graph Spectra Fanchao Meng M. Orr Samarth Swarup 137 0 0 10 Jan 2022
Supervised Contrastive Learning for Recommendation Chun Yang 71 40 0 10 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 134 2 0 04 Jan 2022
Exploring Motion and Appearance Information for Temporal Sentence Grounding Daizong Liu Xiaoye Qu Pan Zhou Yang Liu 97 42 0 03 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei Jin Hui Liu Suhang Wang NoLa 108 97 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 51 4 0 31 Dec 2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 67 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 139 330 0 30 Dec 2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 81 44 0 29 Dec 2021
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 132 13 0 29 Dec 2021
Learn Layer-wise Connections in Graph Neural Networks Lanning Wei Huan Zhao Zhiqiang He GNN 32 4 0 27 Dec 2021
Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He Chundong Liang Huixin Liu Ming-Chang Wen Pengfei Jiao Zhiyong Feng GNN 101 67 0 27 Dec 2021
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation Chen Liang Chong Yang Jing Xu Juyang Huang Yongliang Wang Yang Dong 105 24 0 23 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Eric Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 58 6 0 23 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 80 15 0 22 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 87 42 0 18 Dec 2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks G. Han Yicheng He Shiyuan Huang Jiawei Ma Shih-Fu Chang ObjD 137 104 0 17 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 79 30 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 60 64 0 13 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 86 9 0 10 Dec 2021
Road Extraction from Overhead Images with Graph Neural Networks Gaétan Bahl Mehdi Bahri Florent Lafarge 89 5 0 09 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization Chenhui Zhang Yufei He Yukuo Cen Zhenyu Hou Wenzheng Feng Yuxiao Dong Xu Cheng Hongyun Cai Feng He Jie Tang 81 8 0 08 Dec 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks Pascal Esser L. C. Vankadara Debarghya Ghoshdastidar 71 56 0 07 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 75 6 0 07 Dec 2021
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks Zhiyi Huang Xiaowei Chen Bojuan Wang 47 0 0 06 Dec 2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Liang Zeng Bo Hui Chenxing Wang GNN BDL AI4TS 46 9 0 06 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 124 7 0 02 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 94 40 0 02 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu Wang Yuying Zhao Neil Shah Hanyu Wang 80 52 0 01 Dec 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 67 14 0 29 Nov 2021
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting Chuanpan Zheng Xiaoliang Fan Shirui Pan Haibing Jin Zhaopeng Peng Zonghan Wu Cheng-Yu Wang Philip S. Yu GNN AI4TS 64 52 0 25 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 104 22 0 23 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 59 6 0 22 Nov 2021
Network representation learning: A macro and micro view Xueyi Liu Jie Tang GNN AI4TS 87 23 0 21 Nov 2021
Graph Neural Networks with Feature and Structure Aware Random Walk Wei Zhuo Chenyun Yu Guang Tan GNN 39 1 0 19 Nov 2021
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization Junyan Cheng Iordanis Fostiropoulos Barry W. Boehm 41 9 0 17 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 80 1 0 16 Nov 2021
Graph neural network-based fault diagnosis: a review Zhi-wen Chen Jiamin Xu Cesare Alippi S. Ding Yuri A. W. Shardt Tao Peng Chunhua Yang AI4CE 67 38 0 16 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai Zijia Zhang Z. Cai Xiaobo Liu Yao Ding Pedram Ghamisi FedML 63 1 0 15 Nov 2021
Spectral Transform Forms Scalable Transformer Bingxin Zhou Xinliang Liu Yuehua Liu Yunyin Huang Pietro Lio Yuguang Wang 94 6 0 15 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 59 45 0 14 Nov 2021
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction Hanwen Xu Jiayou Zhang Zhirui Wang Shizhuo Zhang M. Bhalerao Yucong Liu Dawei Zhu Sheng Wang 69 5 0 13 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 236 15 0 12 Nov 2021
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs Eitan Kosman J. Oren Dotan Di Castro 42 0 0 10 Nov 2021
Deep Attention-guided Graph Clustering with Dual Self-supervision Zhihao Peng Hui Liu Yuheng Jia Xianqiang Lyu 83 26 0 10 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 92 66 0 08 Nov 2021
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search Shangqing Liu Xiaofei Xie J. Siow Lei Ma Guozhu Meng Yang Liu GNN 124 55 0 04 Nov 2021
Power Flow Balancing with Decentralized Graph Neural Networks Jonas Berg Hansen S. N. Anfinsen F. Bianchi 63 34 0 03 Nov 2021