Graph U-Nets

11 May 2019

Papers citing "Graph U-Nets"

50 / 510 papers shown

Title
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 52 22 0 03 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 90 65 0 30 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 70 42 0 22 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 74 2 0 21 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 55 1 0 18 Jun 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals Andac Demir T. Koike-Akino Ye Wang M. Haruna Deniz Erdogmus 74 70 0 16 Jun 2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization Santiago Miret Vui Seng Chua Mattias Marder Mariano Phielipp Nilesh Jain Somdeb Majumdar 45 8 0 14 Jun 2021
Graph Domain Adaptation: A Generative View Ruichu Cai Fengzhu Wu Zijian Li Pengfei Wei Lingling Yi Kun Zhang OOD 72 38 0 14 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Seongjun Yun Minbyul Jeong Sungdong Yoo Seunghun Lee Sean S. Yi Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 58 72 0 11 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 69 6 0 11 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 92 1 0 10 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 57 14 0 07 Jun 2021
Graph2Graph Learning with Conditional Autoregressive Models Guan Wang F. Lauze Aasa Feragen CML GNN AI4CE 123 2 0 06 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 48 1 0 04 Jun 2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Abhishek Nadgeri Anson Bastos Kuldeep Singh I. Mulang' Johannes Hoffart Saeedeh Shekarpour V. Saraswat SLR 53 34 0 01 Jun 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 121 131 0 27 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 89 190 0 27 May 2021
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving Kinjal Dasgupta Arindam Das Sudip Das Ujjwal Bhattacharya S. Yogamani 75 67 0 26 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications Yecheng Lyu Xinming Huang Ziming Zhang GNN 72 4 0 23 May 2021
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty Fanfei Chen Paul Szenher Yewei Huang Jinkun Wang Tixiao Shan Shi Bai Brendan Englot 71 13 0 11 May 2021
Graph Attention Networks with Positional Embeddings Liheng Ma Reihaneh Rabbany Adriana Romero Soriano GNN 72 21 0 09 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 205 291 0 04 May 2021
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity Megi Isallari I. Rekik 48 13 0 02 May 2021
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering Yiming Wang Dongxia Chang Zhiqiang Fu Yao Zhao GNN 32 1 0 30 Apr 2021
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali 68 12 0 27 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 115 63 0 26 Apr 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 68 62 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 94 113 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 89 31 0 13 Apr 2021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling Yawei Li He Chen Zhaopeng Cui Radu Timofte Marc Pollefeys Gregory Chirikjian Luc Van Gool 3DPC GNN 86 25 0 12 Apr 2021
AutoGL: A Library for Automated Graph Learning Ziwei Zhang Yijian Qin Zeyang Zhang Chaoyu Guan Jie Cai ... Beini Xie Yang Yao Yipeng Zhang Xin Eric Wang Wenwu Zhu 111 30 0 11 Apr 2021
Pyramidal Reservoir Graph Neural Network F. Bianchi Claudio Gallicchio Alessio Micheli GNN 37 13 0 10 Apr 2021
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed Yuli Jiang Yu Rong Hong Cheng Xin Huang Kangfei Zhao Junzhou Huang GNN 89 41 0 08 Apr 2021
Graph Stacked Hourglass Networks for 3D Human Pose Estimation Tianhan Xu W. Takano 3DH 83 210 0 30 Mar 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 124 10 0 29 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 125 18 0 24 Mar 2021
Recognizing Predictive Substructures with Subgraph Information Bottleneck Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 78 47 0 20 Mar 2021
Diversified Multiscale Graph Learning with Graph Self-Correction Yuzhao Chen Yatao Bian Jiying Zhang Xi Xiao Tingyang Xu Yu Rong Junzhou Huang 58 5 0 17 Mar 2021
Should Graph Neural Networks Use Features, Edges, Or Both? Lukas Faber Yifan Lu Roger Wattenhofer GNN 60 10 0 11 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 100 35 0 08 Mar 2021
Implementing graph neural networks with TensorFlow-Keras Patrick Reiser André Eberhard Pascal Friederich GNN 81 16 0 07 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities Takeshi D. Itoh Takatomi Kubo K. Ikeda 75 30 0 02 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 140 17 0 01 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 111 177 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 158 339 0 22 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Helen Zhou 135 142 0 18 Feb 2021
How Framelets Enhance Graph Neural Networks Xuebin Zheng Bingxin Zhou Junbin Gao Yu Guang Wang Pietro Lio Ming Li Guido Montúfar 118 69 0 13 Feb 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 396 0 09 Feb 2021
Spherical Message Passing for 3D Graph Networks Yi Liu Limei Wang Meng Liu Xuan Zhang Bora Oztekin Shuiwang Ji GNN 88 207 0 09 Feb 2021
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations Dawei Leng Jinjiang Guo Lurong Pan Jie Li Xinyu Wang GNN 48 9 0 08 Feb 2021