Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 31 53 0 27 Jan 2021
Learning Parametrised Graph Shift Operators George Dasoulas J. Lutzeyer Michalis Vazirgiannis OOD 24 21 0 25 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 115 76 0 21 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations Junteng Jia Austin R. Benson 29 28 0 19 Jan 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 40 97 0 17 Jan 2021
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features David Oniani Chen Wang Yiqing Zhao Andrew Wen Hongfang Liu F. Shen 29 3 0 14 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 39 5 0 14 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 30 36 0 07 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 90 7 0 06 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 97 563 0 04 Jan 2021
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl S. Zafeiriou GNN AI4CE 11 49 0 31 Dec 2020
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 23 12 0 30 Dec 2020
LookHops: light multi-order convolution and pooling for graph classification Zhangyang Gao Haitao Lin Stan. Z Li 29 6 0 28 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 29 1 0 28 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 25 18 0 24 Dec 2020
Graph Autoencoders with Deconvolutional Networks Jia Li Tomas Yu Da-Cheng Juan Arjun Gopalan Hong Cheng Andrew Tomkins GNN 24 7 0 22 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 27 117 0 16 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong GNN AI4TS 18 149 0 15 Dec 2020
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification Juncheng Liu Yiwei Wang Bryan Hooi Renchi Yang X. Xiao 36 7 0 13 Dec 2020
Adversarial Permutation Guided Node Representations for Link Prediction Indradyumna Roy A. De Soumen Chakrabarti 38 15 0 13 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 90 116 0 08 Dec 2020
Sheaf Neural Networks J. Hansen Thomas Gebhart GNN 11 38 0 08 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 34 20 0 07 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 38 36 0 04 Dec 2020
Traffic4cast 2020 -- Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction Qi Qi Pak Hay Kwok 25 9 0 03 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 14 24 0 02 Dec 2020
A Targeted Universal Attack on Graph Convolutional Network Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 27 19 0 29 Nov 2020
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off Minji Yoon Théophile Gervet Bryan Hooi Christos Faloutsos 28 18 0 26 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 16 7 0 24 Nov 2020
Revisiting graph neural networks and distance encoding from a practical view Haoteng Yin Yanbang Wang Pan Li AI4CE 34 5 0 22 Nov 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 22 4 0 22 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs Lingfan Yu Jiajun Shen Jinyang Li Adam Lerer GNN 38 49 0 19 Nov 2020
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks Tao Huang Yihan Zhang Jiajing Wu Junyuan Fang Zibin Zheng GNN 19 2 0 17 Nov 2020
A Large-Scale Database for Graph Representation Learning Scott Freitas Yuxiao Dong Joshua Neil Duen Horng Chau PINN GNN 32 57 0 16 Nov 2020
Single-Node Attacks for Fooling Graph Neural Networks Ben Finkelshtein Chaim Baskin Evgenii Zheltonozhskii Uri Alon AAML 22 12 0 06 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 60 1,179 0 04 Nov 2020
Learning on Attribute-Missing Graphs Xu Chen Siheng Chen Jiangchao Yao Huangjie Zheng Ya Zhang Ivor W Tsang 32 86 0 03 Nov 2020
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification Kaize Ding Jianling Wang Jundong Li Dingcheng Li Huan Liu GNN 11 204 0 01 Nov 2020
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks Hussain Hussain Tomislav Duricic Elisabeth Lex Roman Kern D. Helic AI4MH 24 4 0 30 Oct 2020
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis Yacouba Kaloga Pierre Borgnat S. Chepuri P. Abry Amaury Habrard 11 2 0 30 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 18 142 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 21 44 0 28 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 34 1,078 0 27 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 37 283 0 27 Oct 2020
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring Henry Kenlay D. Thanou Xiaowen Dong 30 30 0 26 Oct 2020
Co-embedding of Nodes and Edges with Graph Neural Networks Xiaodong Jiang Ronghang Zhu Pengsheng Ji Sheng Li GNN 22 75 0 25 Oct 2020
A Simple Spectral Failure Mode for Graph Convolutional Networks Carey E. Priebe Cencheng Shen Ningyuan Huang Tianyi Chen GNN 19 7 0 25 Oct 2020
Few-shot Decoding of Brain Activation Maps Myriam Bontonou G. Lioi Nicolas Farrugia Vincent Gripon 19 7 0 23 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 35 102 0 23 Oct 2020