Graph U-Nets

11 May 2019

Papers citing "Graph U-Nets"

50 / 510 papers shown

Title
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 70 23 0 14 Dec 2021
N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks Yudi Li Min Tang Yun-bo Yang Zi Huang Ruofeng Tong Shuangcai Yang Yao Li Tianyi Zhou 3DH AI4CE 80 21 0 13 Dec 2021
A deep learning model for data-driven discovery of functional connectivity Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis GNN 43 23 0 07 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OODD OOD 128 106 0 07 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 107 2 0 04 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks Yang Li Yuichi Tanaka 41 3 0 03 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 124 7 0 02 Dec 2021
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning Rishikesh Magar Yuyang Wang Cooper Lorsung Chen Liang Hariharan Ramasubramanian Peiyuan Li A. Farimani 98 33 0 30 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 63 2 0 25 Nov 2021
Hierarchical Graph Networks for 3D Human Pose Estimation Han Li Bowen Shi Wenrui Dai Yabo Chen Botao Wang Yu Sun Mingzhe Guo Chenlin Li Junni Zou H. Xiong 3DH 89 16 0 23 Nov 2021
Learnable Structural Semantic Readout for Graph Classification Dongha Lee Seon Gyeom Kim Seonghyeon Lee Chanyoung Park Hwanjo Yu GNN 70 20 0 22 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 167 89 0 20 Nov 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation Xingchen Wan Henry Kenlay Binxin Ru Arno Blaas Michael A. Osborne Xiaowen Dong AAML 101 13 0 04 Nov 2021
Multi network InfoMax: A pre-training method involving graph convolutional networks Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis AI4CE 38 1 0 01 Nov 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 113 19 0 28 Oct 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 88 169 0 25 Oct 2021
An attention-driven hierarchical multi-scale representation for visual recognition Zachary Wharton Chenglong Bao Asish Bera BDL 85 1 0 23 Oct 2021
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation Yidan Hu Yong Liu Chunyan Miao Gongqi Lin Yuan Miao 40 1 0 20 Oct 2021
Capsule Graph Neural Networks with EM Routing Yu Lei Jing Zhang GNN 52 5 0 18 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 154 162 0 14 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 79 9 0 10 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 91 23 0 06 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 103 22 0 06 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 150 35 0 05 Oct 2021
Semi-Supervised Deep Learning for Multiplex Networks Anasua Mitra Priyesh Vijayan Ranbir Sanasam D. Goswami Srinivasan Parthasarathy Balaraman Ravindran GNN 87 18 0 05 Oct 2021
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks Jee-weon Jung Hee-Soo Heo Hemlata Tak Hye-jin Shim Joon Son Chung Bong-Jin Lee Ha-Jin Yu Nicholas W. D. Evans 250 311 0 04 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 212 79 0 01 Oct 2021
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs Zhao Xu Youzhi Luo Xuan Zhang Xinyi Xu Yaochen Xie Meng Liu Kaleb Dickerson Cheng Deng Maho Nakata Shuiwang Ji 102 40 0 30 Sep 2021
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach Rolandos Alexandros Potamias Giorgos Bouritsas Stefanos Zafeiriou 3DPC 85 19 0 30 Sep 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Mingli Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Xiuming Zhang GNN 84 23 0 29 Sep 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 61 2 0 24 Sep 2021
Multi-View Video-Based 3D Hand Pose Estimation Leyla Khaleghi Alireza Sepas-Moghaddam Josh Marshall Ali Etemad 3DH 73 10 0 24 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Helen Zhou Yu Li Yi Chang Xin Wang 101 36 0 23 Sep 2021
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning Li Pan Jundong Liu M. Shi C. Wong K. Chan 108 12 0 19 Sep 2021
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization Lili Wang Chenghan Huang Weicheng Ma Xinyuan Cao Soroush Vosoughi GNN DiffM 56 15 0 14 Sep 2021
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation Nan Wu Huake He Yuan Xie Pan Li Cong Hao GNN 81 3 0 13 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 130 95 0 08 Sep 2021
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data Mohammed Amine Gharsallaoui I. Rekik OOD 46 1 0 06 Sep 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs Arnav V. Malawade S. Yu Brandon Hsu Harsimrat Kaeley Anurag Karra Mohammad Abdullah Al Faruque GNN 91 29 0 02 Sep 2021
An FEA surrogate model with Boundary Oriented Graph Embedding approach XingYu Fu Fengfeng Zhou Dheeraj Peddireddy Zhengyang Kang M. Jun Vaneet Aggarwal AI4CE 68 2 0 30 Aug 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 84 73 0 24 Aug 2021
Graph-Convolutional Deep Learning to Identify Optimized Molecular Configurations Eshan Joshi S. Somuyiwa H. Jooya GNN 52 0 0 22 Aug 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 75 37 0 21 Aug 2021
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures M. Rahmani Rasoul Shafipour Ping Li FedML 55 1 0 16 Aug 2021
Localized Graph Collaborative Filtering Yiqi Wang Chaozhuo Li Mingzheng Li Wei Jin Yuming Liu Hao Sun Xing Xie Jiliang Tang 44 12 0 10 Aug 2021
GraphFPN: Graph Feature Pyramid Network for Object Detection Gangming Zhao Weifeng Ge Yizhou Yu ObjD 163 84 0 02 Aug 2021
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection Hemlata Tak Jee-weon Jung J. Patino Madhu R. Kamble Massimiliano Todisco Nicholas W. D. Evans 88 175 0 27 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 101 14 0 15 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 71 31 0 10 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Helen Zhou GNN AI4CE 81 119 0 06 Jul 2021