Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Multi-level Second-order Few-shot Learning Hongguang Zhang Hongdong Li Piotr Koniusz 17 33 0 15 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 34 45 0 14 Jan 2022
Training Free Graph Neural Networks for Graph Matching Zhiyuan Liu Yixin Cao Fuli Feng Xiang Wang Jie Tang Kenji Kawaguchi Tat-Seng Chua 29 0 0 14 Jan 2022
Local2Global: A distributed approach for scaling representation learning on graphs Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Mihai Cucuringu 28 1 0 12 Jan 2022
Stratified Graph Spectra Fanchao Meng M. Orr Samarth Swarup 21 0 0 10 Jan 2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs Qiaoyu Tan Ninghao Liu Xiao Shi Huang Rui Chen Soo-Hyun Choi Xia Hu SSL 30 39 0 07 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
TextRGNN: Residual Graph Neural Networks for Text Classification Jiayuan Chen Boyu Zhang Yinfei Xu Meng Wang 33 4 0 30 Dec 2021
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 30 13 0 29 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
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Lei Wang Jun Liu Piotr Koniusz 42 20 0 23 Dec 2021
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning Honglu Zhou Advith Chegu Samuel S. Sohn Zuohui Fu Gerard de Melo Mubbasir Kapadia 42 7 0 22 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
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes Lukas Galke Iacopo Vagliano Benedikt Franke Tobias Zielke Marcel Hoffmann A. Scherp CLL 36 13 0 20 Dec 2021
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows E. Simou 21 0 0 18 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
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 29 10 0 16 Dec 2021
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation Jie Zhang Ke-Jia Chen Jingqiang Chen AI4TS 47 0 0 16 Dec 2021
Explainable Natural Language Processing with Matrix Product States J. Tangpanitanon Chanatip Mangkang P. Bhadola Yuichiro Minato D. Angelakis Thiparat Chotibut 35 5 0 16 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
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 33 34 0 13 Dec 2021
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 83 24 0 08 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
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection Andrea Marinoni Christian Jutten Mark Girolami 205 2 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
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 48 27 0 06 Dec 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Chenxing Wang GNN AI4TS 19 1 0 04 Dec 2021
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design Xiran Fan Chun-Hao Yang B. Vemuri 48 18 0 03 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
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning Jun Hu Shengsheng Qian Quan Fang Changsheng Xu GNN 21 0 0 02 Dec 2021
diffConv: Analyzing Irregular Point Clouds with an Irregular View Manxi Lin Aasa Feragen GNN 3DPC 33 11 0 29 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 28 2 0 25 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 43 88 0 23 Nov 2021
Network In Graph Neural Network Xiang Song Runjie Ma Jiahang Li Muhan Zhang David Wipf GNN 24 10 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
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 38 24 0 20 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 72 81 0 20 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
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation A. Haeri K. Skonieczny AI4CE 21 2 0 18 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 45 1 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
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 25 45 0 14 Nov 2021
Linear, or Non-Linear, That is the Question! Taeyong Kong Taeri Kim Jinsung Jeon Jeongwhan Choi Yeon-Chang Lee Noseong Park Sang-Wook Kim 43 57 0 14 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks S. Maurya Xin Liu T. Murata 27 76 0 12 Nov 2021
AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph Convolution Hongyuan Zhang Jiankun Shi Rui Zhang Xuelong Li GNN 79 1 0 12 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 54 15 0 12 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 51 24 0 11 Nov 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 34 22 0 11 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