Large-Scale Learnable Graph Convolutional Networks

12 August 2018

Papers citing "Large-Scale Learnable Graph Convolutional Networks"

50 / 198 papers shown

Title
Image augmentation with invertible networks in interactive satellite image change detection Hichem Sahbi 20 0 0 21 Oct 2025
Label-frugal satellite image change detection with generative virtual exemplar learning Hichem Sahbi 48 0 0 08 Oct 2025
Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks Molly Noel Gabriel Mancino-Ball Yangyang Xu GNN 69 0 0 01 Aug 2025
FoGE: Fock Space inspired encoding for graph prompting Sotirios Panagiotis Chytas Rudrasis Chakraborty Vikas Singh AI4CE 77 0 0 26 Jun 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 209 4 0 20 Feb 2025
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions Xiao Yang Gaolei Li Jianhua Li AAML AI4CE 164 4 0 08 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion ModelWeb Search and Data Mining (WSDM), 2025 Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 123 6 0 04 Jan 2025
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study Liangliang Zhang Haoran Bao Yao Ma DD AI4CE 87 1 0 23 Dec 2024
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Shravan Venkatraman Jaskaran Singh Walia J. Raheja ViT 342 2 0 14 Nov 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsNeural Information Processing Systems (NeurIPS), 2024 Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 110 45 0 25 Aug 2024
Alleviating Over-Smoothing via Aggregation over Compact ManifoldsPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024 Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 175 0 0 27 Jul 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior Melanie Schaller Daniel Schlor Andreas Hotho 103 3 0 28 Jun 2024
PANDORA: Deep graph learning based COVID-19 infection risk level forecastingIEEE Transactions on Computational Social Systems (IEEE TCSS), 2024 Shuo Yu Xiwei Xu Yueru Wang Shihao Li F. Febrinanto Madhu Chetty 78 3 0 07 Jun 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 224 5 0 21 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Miao Hu Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Tengjiao Wang GNN 186 0 0 07 May 2024
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 87 0 0 26 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 139 0 0 19 Apr 2024
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 86 4 0 17 Apr 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems Inaam Ashraf Janine Strotherm L. Hermes Barbara Hammer AI4CE 149 13 0 27 Mar 2024
OpenGraph: Towards Open Graph Foundation Models Lianghao Xia Ben Kao Chao Huang AI4CE 166 60 0 02 Mar 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 231 115 0 13 Feb 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection H. Sahbi 115 0 0 28 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Helen Zhou 150 14 0 19 Dec 2023
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular DesignComputers and Chemical Engineering (Comput. Chem. Eng.), 2023 Tom McDonald Calvin Tsay Artur M. Schweidtmann Neil Yorke-Smith 175 20 0 02 Dec 2023
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion PredictionIEEE Transactions on Image Processing (IEEE TIP), 2023 Xinshun Wang Wanying Zhang Can Wang Yuan Gao Mengyuan Liu 3DH GNN 135 46 0 29 Nov 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion H. Sahbi Sebastien Deschamps 160 0 0 26 Sep 2023
Deep Prompt Tuning for Graph Transformers Reza Shirkavand Heng-Chiao Huang 99 8 0 18 Sep 2023
Collaborative Graph Neural Networks for Attributed Network EmbeddingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 202 18 0 22 Jul 2023
Multi-representations Space Separation based Graph-level Anomaly-aware DetectionInternational Conference on Statistical and Scientific Database Management (SSDBM), 2023 Fu Lin Haonan Gong Mingkang Li Zitong Wang Yue Zhang Xuexiong Luo 62 3 0 22 Jul 2023
Adaptive Graph Convolution Networks for Traffic Flow Forecasting Zhengdao Li W. Li K. Hwang AI4TS AI4CE 66 2 0 07 Jul 2023
A Survey on Graph Classification and Link Prediction based on GNN Xingyu Liu Juan Chen Q. Wen GNN 123 21 0 03 Jul 2023
Torsion Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Cong Shen Xiang Liu Jiawei Luo Kelin Xia 107 1 0 23 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Jiaqi Han Wen-bing Huang Yu Rong Qifeng Bai Gang Hua Junzhou Huang 110 9 0 21 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationInternational Conference on Machine Learning (ICML), 2023 A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 167 7 0 18 Jun 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 109 2 0 21 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent NetworksIEEE Access (IEEE Access), 2023 Pooyan Khosravinia Thinagaran Perumal Javad Zarrin 126 9 0 08 May 2023
Asymmetric Learning for Graph Neural Network based Link PredictionACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Kai-Lang Yao Wusuo Li 131 2 0 01 Mar 2023
DeepSeq: Deep Sequential Circuit LearningDesign, Automation and Test in Europe (DATE), 2023 Sadaf Khan Zhengyuan Shi Min Li Qiang Xu GNN 163 13 0 27 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lio F. Scarselli Baptiste Caramiaux AI4CE 316 81 0 02 Feb 2023
A Network Science perspective of Graph Convolutional Networks: A surveyIEEE Access (IEEE Access), 2023 Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 145 11 0 12 Jan 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 91 0 0 28 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 113 0 0 19 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 130 0 0 09 Dec 2022
Node-oriented Spectral Filtering for Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 155 22 0 07 Dec 2022
Spatial Graph Convolution Neural Networks for Water Distribution SystemsInternational Symposium on Intelligent Data Analysis (IDA), 2022 Inaam Ashraf L. Hermes André Artelt Barbara Hammer GNN 109 11 0 17 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 116 7 0 08 Nov 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great AgainNeural Information Processing Systems (NeurIPS), 2022 Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 120 13 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and RethinkingNeural Information Processing Systems (NeurIPS), 2022 Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Helen Zhou Zhangyang Wang GNN 165 72 0 14 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 127 4 0 08 Oct 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 241 45 0 12 Sep 2022