Graph U-Nets

11 May 2019

Papers citing "Graph U-Nets"

50 / 210 papers shown

Title
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations Giovanni Catalani Michaël Bauerheim Frédéric Tost Xavier Bertrand Joseph Morlier AI4CE 52 0 0 24 Apr 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 34 0 0 23 Apr 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology Amaya Gallagher-Syed Henry Senior Omnia Alwazzan Elena Pontarini Michele Bombardieri C. Pitzalis M. Lewis Michael Barnes Luca Rossi Gregory G. Slabaugh 41 0 0 26 Mar 2025
O-RAN xApps Conflict Management using Graph Convolutional Networks Maryam Al Shami Jun Yan Emmanuel Thepie Fapi GNN 75 1 0 05 Mar 2025
A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder Zhou Yang Yucai Pang Hongbo Yin Yunpeng Xiao ViT 43 0 0 23 Feb 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting Hao Wu Haomin Wen Guibin Zhang Yutong Xia Kai Wang Keli Zhang Yu Zheng Kun Wang 68 2 0 17 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 52 0 0 17 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Yongjun Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 171 0 0 03 Jan 2025
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries Zhihao Li Haoze Song Di Xiao Zhilu Lai Wei Wang AI4CE 91 3 0 18 Nov 2024
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions Huayu Deng Xiangming Zhu Yunbo Wang Xiaokang Yang PINN AI4CE 29 0 0 03 Oct 2024
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation Kevin Potter Carianne Martinez Reina Pradhan Samantha Brozak Steven Sleder Lauren Wheeler AI4Cl AI4CE 36 0 0 19 Sep 2024
Edge-Based Graph Component Pooling T. Snelleman B. M. Renting H. H. Hoos J. N. V. Rijn GNN 28 2 0 18 Sep 2024
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer Yanqing Kang Di Zhu Haiyang Zhang Enze Shi Sigang Yu ... Xuan Liu Geng Chen Xi Jiang Tuo Zhang Shu Zhang 23 0 0 17 Sep 2024
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length J. V. Pichowski Christopher Blöcker Ingo Scholtes 39 0 0 16 Sep 2024
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana AI4TS 32 2 0 21 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction Luhui Cai Weiming Zeng Hongyu Chen Hua Zhang Yueyang Li Hongjie Yan Lingbin Bian Lingbin Bian Wai Ting Siok Nizhuan Wang MedIm 55 3 0 20 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 49 4 0 06 Jun 2024
UniIF: Unified Molecule Inverse Folding Zhangyang Gao Jue Wang Cheng Tan Lirong Wu Yufei Huang Siyuan Li Zhirui Ye Stan Z. Li 40 4 0 29 May 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 47 3 0 21 May 2024
Clustering for Protein Representation Learning Ruijie Quan Wenguan Wang Fan Ma Hehe Fan Yi Yang 29 5 0 30 Mar 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 39 9 0 22 Jan 2024
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 27 5 0 03 Dec 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen J. Hopcroft Kun He 24 0 0 31 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 37 4 0 16 Oct 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite Stefania Costantini Gianluca Galletti Fabian Fritz Stefan Adami Nikolaus A. Adams 40 13 0 28 Sep 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Edge-aware Hard Clustering Graph Pooling for Brain Imaging Cheng Zhu Jiayi Zhu Xi Wu Lijuan Zhang Shu-Huei Yang Ping Liang Honghan Chen Ying Tan 30 0 0 23 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Keli Zhang Yang Wang 37 8 0 19 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 32 9 0 08 Aug 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 24 6 0 01 Jul 2023
Geometric Pooling: maintaining more useful information Hao Xu Jia Liu Yang Shen Kenan Lou Yanxia Bao Ruihua Zhang Shuyue Zhou Hongsen Zhao Shuai Wang 29 0 0 21 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio Yiren Zhao 20 1 0 08 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 36 30 0 31 May 2023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo Mandic Cesare Alippi AI4TS 32 9 0 30 May 2023
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications Marion Neumeier Andreas Tollkühn S. Dorn M. Botsch Wolfgang Utschick GNN 19 4 0 25 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 36 6 0 25 May 2023
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion Rui Liu Jinhua Zhang Guanglai Gao Haizhou Li 28 9 0 25 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 41 52 0 15 May 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 57 141 0 11 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
GNN-based physics solver for time-independent PDEs R. J. Gladstone H. Rahmani V. Suryakumar Hadi Meidani M. DÉlia A. Zareei AI4CE 20 15 0 28 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 28 0 27 Mar 2023
Topological Pooling on Graphs Yuzhou Chen Yulia R. Gel 25 10 0 25 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 30 3 0 22 Mar 2023
MPool: Motif-Based Graph Pooling Muhammad Ifte Khairul Islam Max Khanov Esra Akbas 25 4 0 07 Mar 2023
Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks Yang Li Yuichi Tanaka 3DPC 26 0 0 02 Mar 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 32 14 0 28 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 23 0 0 25 Jan 2023