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
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 30 13 0 29 Dec 2021
Learn Layer-wise Connections in Graph Neural Networks Lanning Wei Huan Zhao Zhiqiang He GNN 21 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 34 65 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 36 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 22 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 23 13 0 22 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 27 41 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 41 103 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 15 27 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 30 60 0 13 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 47 8 0 10 Dec 2021
Road Extraction from Overhead Images with Graph Neural Networks Gaétan Bahl Mehdi Bahri Florent Lafarge 21 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 38 8 0 08 Dec 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks P. Esser L. C. Vankadara D. Ghoshdastidar 28 53 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 33 6 0 07 Dec 2021
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks Zhiyi Huang Xiaowei Chen Bojuan Wang 36 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 24 9 0 06 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 24 7 0 02 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 22 39 0 02 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 38 48 0 01 Dec 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 24 13 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 20 49 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 48 21 0 23 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 30 4 0 22 Nov 2021
Network representation learning: A macro and micro view Xueyi Liu Jie Tang GNN AI4TS 24 23 0 21 Nov 2021
Graph Neural Networks with Feature and Structure Aware Random Walk Wei Zhuo Chenyun Yu Guang Tan GNN 28 1 0 19 Nov 2021
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization Junyan Cheng Iordanis Fostiropoulos Barry W. Boehm 8 9 0 17 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 45 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 33 36 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 32 1 0 15 Nov 2021
Spectral Transform Forms Scalable Transformer Bingxin Zhou Xinliang Liu Yuehua Liu Yunyin Huang Pietro Lio Yuguang Wang 57 6 0 15 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 25 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 30 5 0 13 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 54 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 40 0 0 10 Nov 2021
Deep Attention-guided Graph Clustering with Dual Self-supervision Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 34 22 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 37 62 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 25 53 0 04 Nov 2021
Power Flow Balancing with Decentralized Graph Neural Networks Jonas Berg Hansen S. N. Anfinsen F. Bianchi 31 34 0 03 Nov 2021
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation Jianning Quan A. Ben Hamza 3DH 26 13 0 01 Nov 2021
Graph Embedding with Hierarchical Attentive Membership Lu Lin Ethan Blaser Hongning Wang 37 10 0 31 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 32 74 0 28 Oct 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 39 14 0 27 Oct 2021
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs Jinwoo Kim Saeyoon Oh Seunghoon Hong AI4CE 22 41 0 27 Oct 2021
Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang Mingyu Yang Zeang Sheng Yang Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang 24 67 0 27 Oct 2021
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu Guosheng Lin 27 25 0 27 Oct 2021
Deeper-GXX: Deepening Arbitrary GNNs Lecheng Zheng Dongqi Fu Ross Maciejewski Jingrui He 27 11 0 26 Oct 2021
CTRN: Class-Temporal Relational Network for Action Detection Rui Dai Srijan Das Francois Bremond ViT 24 22 0 26 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao Sun Xing Xie Yanfang Ye 24 76 0 25 Oct 2021
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets Felix L. Opolka Yin-Cong Zhi Pietro Lio Xiaowen Dong 27 19 0 25 Oct 2021