Graph U-Nets

11 May 2019

Papers citing "Graph U-Nets"

50 / 221 papers shown

Title
Graph2Graph Learning with Conditional Autoregressive Models Guan Wang F. Lauze Aasa Feragen CML GNN AI4CE 36 2 0 06 Jun 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 34 129 0 27 May 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 151 283 0 04 May 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 18 59 0 18 Apr 2021
Learning to design drug-like molecules in three-dimensional space using deep generative models Yibo Li Jianfeng Pei L. Lai DiffM 37 111 0 17 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 39 30 0 13 Apr 2021
Graph Stacked Hourglass Networks for 3D Human Pose Estimation Tianhan Xu W. Takano 3DH 32 204 0 30 Mar 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 42 10 0 29 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 27 33 0 08 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 173 0 23 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 41 325 0 22 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu 90 130 0 18 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 185 188 0 01 Feb 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Phillip S. Yu Lifang He 24 162 0 20 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 28 176 0 17 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 90 7 0 06 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 117 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 Dec 2020
GDPNet: Refining Latent Multi-View Graph for Relation Extraction Fuzhao Xue Aixin Sun Hao Zhang Eng Siong Chng 24 86 0 12 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 29 36 0 09 Dec 2020
Interpretable Graph Capsule Networks for Object Recognition Jindong Gu Volker Tresp FAtt 19 36 0 03 Dec 2020
Can neural networks learn persistent homology features? Guido Montúfar N. Otter Yuguang Wang 23 12 0 30 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 18 13 0 05 Nov 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 8 71 0 29 Oct 2020
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 59 89 0 23 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 30 153 0 12 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 35 153 0 13 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 30 47 0 08 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy Wenchong He Arpan Man Sainju Zhe Jiang Da Yan 15 9 0 25 Aug 2020
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis Xiaoxiao Li Yuan Zhou Nicha Dvornek Muhan Zhang Juntang Zhuang P. Ventola James S Duncan 16 57 0 29 Jul 2020
Differentiable Manifold Reconstruction for Point Cloud Denoising Shitong Luo Wei Hu 3DPC 27 132 0 27 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 19 81 0 20 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 46 594 0 18 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 27 11 0 14 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 33 480 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 54 1,450 0 04 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 34 259 0 30 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 41 86 0 22 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 31 14 0 18 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 24 376 0 16 Jun 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing Zihang Dai Guokun Lai Yiming Yang Quoc V. Le 48 230 0 05 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 34 390 0 03 Jun 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 24 162 0 29 May 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks Haoteng Tang Guixiang Ma Yurong Chen Lei Guo Wei Wang Bo Zeng Liang Zhan AAML 29 28 0 23 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020