Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

30 June 2016

Papers citing "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

50 / 877 papers shown

Title
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 27 59 0 23 Dec 2021
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing Dishanika Denipitiyage Vinoj Jayasundara Ranga Rodrigo Chamira U. S. Edussooriya 3DPC 18 6 0 21 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 22 23 0 14 Dec 2021
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis Mohammadreza Ghorvei Mohammadreza Kavianpour Mohammad T. H. Beheshti Amin Ramezani AI4CE 16 71 0 11 Dec 2021
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 24 41 0 09 Dec 2021
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures S. Wein Alina Schüller A. Tomé W. Malloni M. Greenlee E. Lang AI4CE 30 14 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 28 6 0 07 Dec 2021
GraphPAS: Parallel Architecture Search for Graph Neural Networks Jiamin Chen Jianliang Gao Yibo Chen Moctard Babatounde Oloulade Tengfei Lyu Zhao Li GNN 18 21 0 07 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 23 27 0 06 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 37 2 0 04 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 28 13 0 03 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks Yang Li Yuichi Tanaka 21 3 0 03 Dec 2021
Generating Diverse 3D Reconstructions from a Single Occluded Face Image Rahul Dey Vishnu Naresh Boddeti CVBM 3DH 21 7 0 01 Dec 2021
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions Selim Furkan Tekin Suleyman Serdar Kozat 27 12 0 29 Nov 2021
diffConv: Analyzing Irregular Point Clouds with an Irregular View Manxi Lin Aasa Feragen GNN 3DPC 23 11 0 29 Nov 2021
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 41 425 0 29 Nov 2021
Head and Body: Unified Detector and Graph Network for Person Search in Media Xiujun Shu Yusheng Tao Ruizhi Qiao Bo Ke Wei Wen Bo Ren 22 2 0 27 Nov 2021
On the combination of graph data for assessing thin-file borrowers' creditworthiness Ricardo Muñoz-Cancino Cristián Bravo Sebastián A. Ríos M. Graña 13 14 0 26 Nov 2021
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network M. Behmanesh Peyman Adibi M. Ehsani Jocelyn Chanussot 19 12 0 26 Nov 2021
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors Haibin Zheng Minying Ma Jinyin Chen Haiyang Xiong Zhijun Yang 17 9 0 26 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 17 2 0 25 Nov 2021
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild Jianglong Ye Yuntao Chen Naiyan Wang Xiaolong Wang 3DPC 51 9 0 24 Nov 2021
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network Lei Lin Weizi Li Lei Zhu GNN AI4TS 9 5 0 22 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 23 24 0 20 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 35 1 0 16 Nov 2021
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting Y. Shin Yoonjin Yoon AI4TS GNN 34 1 0 15 Nov 2021
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks Guannan Lou Yuze Liu Tiehua Zhang Xi Zheng FedML 57 14 0 12 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 19 138 0 11 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 35 2 0 05 Nov 2021
Graph Denoising with Framelet Regularizer Bingxin Zhou Ruikun Li Xuebin Zheng Yu Guang Wang Junbin Gao 13 14 0 05 Nov 2021
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation Ke Tu Peng Cui Daixin Wang Zhiqiang Zhang Jun Zhou Yuan Qi Wenwu Zhu 27 46 0 03 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence Achintya Gopal Chun-Han Chang 29 3 0 02 Nov 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Lun Du Xiaozhou Shi Qiang Fu Xiaojun Ma Hengyu Liu Shi Han Dongmei Zhang 29 104 0 29 Oct 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 18 3 0 29 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 192 0 28 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 25 47 0 27 Oct 2021
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks Mehrdad Kiamari Bhaskar Krishnamachari GNN 11 9 0 22 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner Jochen Garcke AI4CE 24 14 0 18 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 33 173 0 17 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 16 146 0 14 Oct 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 24 1 0 14 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi C. Alippi GNN FAtt AI4CE 24 90 0 11 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 30 7 0 10 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 21 6 0 08 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 17 229 0 06 Oct 2021
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 29 62 0 05 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 34 9 0 05 Oct 2021