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 / 1,229 papers shown

Title
Deep Neural Network for DrawiNg Networks, (DNN)^2 Loann Giovannangeli Frédéric Lalanne D. Auber R. Giot Romain Bourqui 21 9 0 08 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 39 123 0 04 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition Yuxin Chen Ziqi Zhang Chunfen Yuan Bing Li Ying Deng Weiming Hu 45 566 0 26 Jul 2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection Zhenguang Liu Peng Qian Xiaoyang Wang Yuan Zhuang Lin Qiu Xun Wang 27 206 0 24 Jul 2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks Dylan Sandfelder Priyesh Vijayan William L. Hamilton 24 26 0 22 Jul 2021
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data Qinkai Chen C. Robert AIFin 40 25 0 22 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Wide and Deep Graph Neural Network with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 44 26 0 19 Jul 2021
Synthesizing Human Faces using Latent Space Factorization and Local Weights (Extended Version) Minyoung Kim Young J. Kim 3DH CVBM 14 0 0 19 Jul 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN Shai Ben-Assayag Ran El-Yaniv GNN 36 9 0 18 Jul 2021
Integrating LSTMs and GNNs for COVID-19 Forecasting Nathan Sesti J. Luis E. Crawley B. Cameron AI4TS 19 18 0 14 Jul 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 92 108 0 05 Jul 2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network Maosen Li Siheng Chen Yanning Shen Ge Liu Ivor W. Tsang Ya Zhang 22 42 0 02 Jul 2021
Overhead-MNIST: Machine Learning Baselines for Image Classification E. Larsen David Noever Korey MacVittie John Lilly 195 7 0 01 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 29 108 0 01 Jul 2021
Multi-modal Graph Learning for Disease Prediction Shuai Zheng Zhenfeng Zhu Zhizhe Liu Zhenyu Guo Yang Liu Yao Zhao 34 97 0 01 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 24 18 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 21 49 0 30 Jun 2021
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs Pu Ren Chengping Rao Yang Liu Jianxun Wang Hao Sun DiffM AI4CE 48 193 0 26 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
Boundary Graph Neural Networks for 3D Simulations Andreas Mayr Sebastian Lehner A. Mayrhofer C. Kloss Sepp Hochreiter Johannes Brandstetter AI4CE 24 33 0 21 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 44 215 0 21 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 54 254 0 21 Jun 2021
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations Zhangyang Gao Elvin Isufi Alejandro Ribeiro GNN 24 23 0 19 Jun 2021
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents Muhammad Monjurul Karim Yu Li Ruwen Qin Zhaozheng Yin 27 55 0 18 Jun 2021
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter Jingli Shi Weihua Li Sira Yongchareon Yi Yang Quan-wei Bai 21 8 0 18 Jun 2021
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties Jerret Ross Brian M. Belgodere Vijil Chenthamarakshan Inkit Padhi Youssef Mroueh Payel Das AI4CE 32 275 0 17 Jun 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger David Novotny Gael Kerchenbaum Patrick Labatut Natalia Neverova Daniel Cremers Andrea Vedaldi 3DH 3DPC 20 67 0 17 Jun 2021
EdgeConv with Attention Module for Monocular Depth Estimation Minhyeok Lee Sangwon Hwang Chaewon Park Sangyoun Lee MDE 3DPC 13 17 0 16 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv 27 24 0 14 Jun 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 30 848 0 13 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 29 131 0 11 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 39 131 0 11 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark Coates BDL AI4TS 33 22 0 10 Jun 2021
Learnable Hypergraph Laplacian for Hypergraph Learning Jiying Zhang Yuzhao Chen Xiong Xiao Runiu Lu Shutao Xia 42 28 0 10 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 42 100 0 09 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 27 114 0 08 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 21 121 0 08 Jun 2021
Multi-modal Entity Alignment in Hyperbolic Space Haojie Guo Jiuyang Tang Weixin Zeng Xiang Zhao Li Liu 15 45 0 07 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective Likang Wu Zhi Li Hongke Zhao Qi Liu Enhong Chen 36 16 0 27 May 2021
THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences Ruichu Cai Siyu Wu Jie Qiao Zhifeng Hao Keli Zhang Xi Zhang 34 23 0 23 May 2021
Adaptive Filters in Graph Convolutional Neural Networks Andrea Apicella Francesco Isgrò A. Pollastro R. Prevete GNN 27 16 0 21 May 2021
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception Ridong Han Tao Peng Jiayu Han Hai Cui Lu Liu 36 7 0 18 May 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning Lu Wang Xiaofu Chang Shuang Li Yunfei Chu Hui Li Wei Zhang Xiaofeng He Le Song Jingren Zhou Hongxia Yang 24 52 0 17 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 48 0 17 May 2021
Graph-Free Knowledge Distillation for Graph Neural Networks Xiang Deng Zhongfei Zhang 34 65 0 16 May 2021