Diffusion-Convolutional Neural Networks

6 November 2015

Papers citing "Diffusion-Convolutional Neural Networks"

50 / 499 papers shown

Title
A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction Victor Chan Qijian Gan Alexandre M. Bayen GNN 26 1 0 25 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 30 18 0 24 Dec 2020
Hop-Hop Relation-aware Graph Neural Networks Li Zhang Yan Ge Haiping Lu GNN 35 6 0 21 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 30 117 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 29 30 0 16 Dec 2020
GDPNet: Refining Latent Multi-View Graph for Relation Extraction Fuzhao Xue Aixin Sun Hao Zhang Eng Siong Chng 29 86 0 12 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 233 255 0 09 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 29 36 0 09 Dec 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks Zhihua Jin Yong Wang Qianwen Wang Yao Ming Tengfei Ma Huamin Qu HAI 24 31 0 22 Nov 2020
Neural graph embeddings as explicit low-rank matrix factorization for link prediction Asan Agibetov 27 23 0 16 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs Yunpeng Weng Xu Chen Liang Chen Wei Liu GNN 22 10 0 03 Nov 2020
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering Shih-Gu Huang M. Chung A. Qiu Alzheimer's Disease Neuroimaging Initiative 32 11 0 26 Oct 2020
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition Negar Heidari Alexandros Iosifidis GNN 44 30 0 23 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 23 63 0 22 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence Hao Huang Lingjing Wang Xiang Li Yi Fang 3DPC 23 0 0 21 Oct 2020
Tracklets Predicting Based Adaptive Graph Tracking Chaobing Shan Chunbo Wei Bing Deng Jianqiang Huang Xiansheng Hua Xiaoliang Cheng K. Liang VOT 38 9 0 18 Oct 2020
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition Shijie Li Jinhui Yi Yazan Abu Farha Juergen Gall 14 35 0 14 Oct 2020
Towards Expressive Graph Representation Chengsheng Mao Liang Yao Yuan Luo 31 2 0 12 Oct 2020
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering Shih-Gu Huang M. Chung A. Qiu Alzheimer's Disease Neuroimaging Initiative OOD MedIm 28 11 0 06 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 53 226 0 30 Sep 2020
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias AAML 27 16 0 30 Sep 2020
Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side Information Mohammadjafar Esmaeili Aria Nosratinia GNN 35 1 0 29 Sep 2020
Evolutionary Architecture Search for Graph Neural Networks Min Shi David A. Wilson Xingquan Zhu Yu Huang Zhuang Yuan Jianxun Liu Yufei Tang AI4CE 40 22 0 21 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 29 148 0 14 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 32 160 0 07 Sep 2020
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization T. Do Duc Minh Nguyen Giannis Bekoulis Adrian Munteanu Nikos Deligiannis 19 36 0 28 Aug 2020
All About Knowledge Graphs for Actions P. Ghosh Nirat Saini L. Davis Abhinav Shrivastava 24 31 0 28 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng Zichen Miao Qiang Qiu GNN 16 0 0 04 Aug 2020
Saliency Prediction with External Knowledge Yifeng Zhang Ming Jiang Qi Zhao GNN 22 10 0 27 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 22 2 0 22 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 24 81 0 20 Jul 2020
Learning to Generate Customized Dynamic 3D Facial Expressions Rolandos Alexandros Potamias Jiali Zheng Stylianos Ploumpis Giorgos Bouritsas Evangelos Ververas Stefanos Zafeiriou 3DH 39 22 0 19 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 18 3 0 19 Jul 2020
Deep Learning of High-Order Interactions for Protein Interface Prediction Yi Liu Haonan Yuan Lei Cai Shuiwang Ji 20 56 0 18 Jul 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 26 44 0 16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 28 53 0 15 Jul 2020
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning Zexi Chen B. Ramachandra Ranga Raju Vatsavai GAN 38 1 0 08 Jul 2020
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation Songyang Zhang Han Zhang Shuguang Cui Zhi Ding GNN 44 1 0 01 Jul 2020
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang Zengfeng Huang Haicang Zhou Ziang Zhou SSL BDL 29 18 0 30 Jun 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lio GNN 41 54 0 29 Jun 2020
Matrix Shuffle-Exchange Networks for Hard 2D Tasks Emīls Ozoliņš Kārlis Freivalds A. Sostaks 18 0 0 29 Jun 2020
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang Huaxiu Yao Yiwei Sun Yiqi Wang Jiliang Tang Charu C. Aggarwal P. Mitra Suhang Wang 34 2 0 28 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 31 14 0 18 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 63 427 0 16 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 17 6 0 08 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 39 44 0 08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Eric Wang Wenwu Zhu GNN 42 29 0 08 Jun 2020
Self-supervised Training of Graph Convolutional Networks Qikui Zhu Bo Du Pingkun Yan SSL GNN 21 44 0 03 Jun 2020
Graph Learning with Loss-Guided Training Eliav Buchnik E. Cohen 21 1 0 31 May 2020