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 / 1,228 papers shown

Title
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 25 3 0 29 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 193 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 33 47 0 27 Oct 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 27 165 0 25 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
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations Simon Giebenhain Bastian Goldlücke 3DPC 26 15 0 22 Oct 2021
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks Mehrdad Kiamari Bhaskar Krishnamachari GNN 13 9 0 22 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner Jochen Garcke AI4CE 36 14 0 18 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 38 174 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 37 148 0 14 Oct 2021
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs Jie M. Zhang Bo Hui P. Harn Minmin Sun Wei-Shinn Ku 24 8 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 Cesare Alippi GNN FAtt AI4CE 30 90 0 11 Oct 2021
Fast Attributed Graph Embedding via Density of States Saurabh Sawlani Lingxiao Zhao Leman Akoglu OOD 22 7 0 11 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 35 7 0 10 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 29 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 44 231 0 06 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 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 45 62 0 05 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 36 9 0 05 Oct 2021
HighlightMe: Detecting Highlights from Human-Centric Videos Uttaran Bhattacharya Gang Wu Stefano Petrangeli Viswanathan Swaminathan Tianyi Zhou 31 10 0 05 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 24 34 0 03 Oct 2021
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters Victor M. Tenorio Samuel Rey Fernando Gama Santiago Segarra A. Marques GNN 27 7 0 02 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 134 78 0 01 Oct 2021
Leveraging power grid topology in machine learning assisted optimal power flow Thomas Falconer Letif Mones 9 48 0 01 Oct 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Mingli Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Xiuming Zhang GNN 47 22 0 29 Sep 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 52 11 0 28 Sep 2021
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling A. E. Gazzar R. Thomas G. Wingen 19 20 0 26 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 48 34 0 23 Sep 2021
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 93 50 0 21 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 31 1 0 20 Sep 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 36 1 0 15 Sep 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 47 112 0 12 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning Xinjun Cai Jiaxing Shang Fei Hao Dajiang Liu Linjiang Zheng 31 19 0 07 Sep 2021
Heterogeneous Graph Neural Network with Multi-view Representation Learning Zezhi Shao Yongjun Xu Wei Wei Fei Wang Zhao Zhang Feida Zhu 29 20 0 31 Aug 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction Maosen Li Siheng Chen Yangheng Zhao Ya Zhang Yanfeng Wang Qi Tian 3DH 25 74 0 25 Aug 2021
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations Y. Kumar S. Chakraborty 32 8 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction Renhe Jiang Du Yin Zhaonan Wang Yizhuo Wang Jiewen Deng Hangcheng Liu Zekun Cai Jinliang Deng Xuan Song Ryosuke Shibasaki AI4TS 62 158 0 20 Aug 2021
3D Shapes Local Geometry Codes Learning with SDF Shun Yao Fei Yang Yongmei Cheng M. Mozerov 3DV 24 15 0 19 Aug 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing Ghodai M. Abdelrahman Qing Wang KELM AI4Ed 30 44 0 18 Aug 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Bjoern Michele Alexandre Boulch Gilles Puy Maxime Bucher Renaud Marlet 3DPC DiffM VLM 41 57 0 13 Aug 2021
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks Yuefan Shen Hongbo Fu Zhongshuo Du Xiang Chen Evgeny Burnaev Denis Zorin Kun Zhou Youyi Zheng AI4CE 42 38 0 11 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks Peide Cai Hengli Wang Yuxiang Sun Ming Liu GNN 35 39 0 11 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual Block Shekhar Gupta G. Yadav G. C. Nandi 3DH 23 3 0 09 Aug 2021
Deep Neural Network for DrawiNg Networks, (DNN)^2 Loann Giovannangeli Frédéric Lalanne D. Auber R. Giot Romain Bourqui 21 9 0 08 Aug 2021