Graph U-Nets

11 May 2019

Papers citing "Graph U-Nets"

50 / 510 papers shown

Title
Graph Parsing Networks Yunchong Song Siyuan Huang Xinbing Wang Cheng Zhou Zhouhan Lin GNN 88 3 0 22 Feb 2024
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning Ulrik Friis-Jensen Frederik L. Johansen A. Anker Erik B. Dam Kirsten M. Ø. Jensen Raghavendra Selvan AI4CE 111 4 0 20 Feb 2024
A unifying primary framework for quantum graph neural networks from quantum graph states Ammar Daskin GNN 78 1 0 20 Feb 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 95 6 0 16 Feb 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks Jonas Kneifl Jörg Fehr Steven L. Brunton J. Nathan Kutz AI4CE 59 1 0 14 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He Gesine Reinert Lukasz Szpruch Samuel N. Cohen 73 3 0 10 Feb 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations Binghui Xie Yatao Bian Kaiwen Zhou Yongqiang Chen Peilin Zhao Bo Han Wei Meng James Cheng 70 1 0 05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Sihang Li Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 119 21 0 05 Feb 2024
Transolver: A Fast Transformer Solver for PDEs on General Geometries Haixu Wu Huakun Luo Haowen Wang Jianmin Wang Mingsheng Long AI4CE 130 73 0 04 Feb 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 91 10 0 29 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 127 10 0 22 Jan 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 76 3 0 22 Jan 2024
On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks Walid Guettala László Gulyás 79 1 0 11 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 89 9 0 04 Jan 2024
Saliency-Aware Regularized Graph Neural Network Wenjie Pei Weina Xu Zongze Wu Weichao Li Jinfan Wang Guangming Lu Xiangrong Wang 45 5 0 01 Jan 2024
MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning Zhaoning Yu Hongyang Gao 93 1 0 24 Dec 2023
Learning to Reweight for Graph Neural Network Zhengyu Chen Teng Xiao Kun Kuang Zheqi Lv Min Zhang Jinluan Yang Chengqiang Lu Hongxia Yang Leilei Gan OOD 95 1 0 19 Dec 2023
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer Youn-Yeol Yu Jeongwhan Choi Woojin Cho Kookjin Lee Nayong Kim ... Ilho Kim Seok-Woo Lee Joon Young Yang S. Yoon Noseong Park AI4CE 125 9 0 19 Dec 2023
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 123 19 0 14 Dec 2023
Patch-wise Graph Contrastive Learning for Image Translation Chanyong Jung Gihyun Kwon Jong Chul Ye 113 13 0 13 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 91 6 0 03 Dec 2023
PerCNet: Periodic Complete Representation for Crystal Graphs Jiao Huang Qianli Xing Jinglong Ji Bo Yang 82 1 0 03 Dec 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 127 31 0 26 Nov 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lio Nikola Simidjievski 82 1 0 25 Nov 2023
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction Bowen Fu Gu Wang Chenyangguang Zhang Yan Di Ziqin Huang Zhiying Leng Fabian Manhardt Xiangyang Ji F. Tombari 84 2 0 23 Nov 2023
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes Chuang Liu Wenhang Yu Kuang Gao Xueqi Ma Yibing Zhan Hongzhi Zhang Bo Du Wenbin Hu 62 0 0 21 Nov 2023
Multiscale Neural Operators for Solving Time-Independent PDEs Winfried Ripken Lisa Coiffard Felix Pieper Sebastian Dziadzio AI4CE 59 2 0 10 Nov 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen John E. Hopcroft Kun He 46 0 0 31 Oct 2023
A Causal Disentangled Multi-Granularity Graph Classification Method Yuan Li Li Liu Penggang Chen Youmin Zhang Guoyin Wang 39 1 0 25 Oct 2023
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation Yuan Li Huan Liu Y. Tao Xiangyang He Haifeng Li Xiaohu Guo Hai Lin 100 0 0 23 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 101 4 0 16 Oct 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite Stefania Costantini Gianluca Galletti Fabian Fritz Stefan Adami Nikolaus A. Adams 116 15 0 28 Sep 2023
Long-tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao Zhengwei Wu Qing Cui Jun Zhou 24 5 0 20 Sep 2023
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images Amaya Gallagher-Syed Luca Rossi F. Rivellese C. Pitzalis M. Lewis Michael Barnes Gregory Slabaugh 62 0 0 19 Sep 2023
HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methods Hyun-Seo Shin Ju-Sung Heo Ju-ho Kim Chanmann Lim Wonbin Kim Ha-Jin Yu 59 7 0 15 Sep 2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents Lanning Wei Zhiqiang He Huan Zhao Quanming Yao LLMAG 73 7 0 08 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 85 15 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 53 0 0 23 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 95 8 0 22 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 Yuxuan Liang Yang Wang 73 9 0 19 Aug 2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation Bin Lu Xiaoying Gan Ze Zhao Shiyu Liang Luoyi Fu Xinbing Wang Cheng Zhou 111 8 0 16 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation Xiaolin Zheng Zhongyu Wang Chaochao Chen Jiashu Qian Yao Yang FedML 70 8 0 15 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 59 3 0 15 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 107 9 0 08 Aug 2023
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning Junhyun Lee Bumsoo Kim Minji Jeon Jaewoo Kang GNN 63 1 0 28 Jul 2023
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations Louis Serrano Léon Migus Yuan Yin Jocelyn Ahmed Mazari Patrick Gallinari AI4CE 64 4 0 25 Jul 2023
Maximal Independent Sets for Pooling in Graph Neural Networks Stevan Stanovic Benoit Gaüzère Luc Brun 26 1 0 24 Jul 2023
ResMatch: Residual Attention Learning for Local Feature Matching Yu-Chih Deng Jiayi Ma 3DPC 59 1 0 11 Jul 2023
Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays Yijiang Chen Chen Liang Xiao-Lei Zhang 54 1 0 03 Jul 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi Kaixiong Zhou Ninghao Liu 101 12 0 03 Jul 2023