Graph U-Nets

11 May 2019

Papers citing "Graph U-Nets"

50 / 510 papers shown

Title
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 87 123 0 16 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset Chunhui Ai Derui Wang Xuemi Yan Yang Xu Wenrui Xie Ziqiang Cao 59 0 0 15 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 91 67 0 15 Jun 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum Haiyang Yu Limei Wang Bokun Wang Meng Liu Tianbao Yang Shuiwang Ji GNN AI4CE 83 39 0 14 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 44 17 0 11 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 106 85 0 06 Jun 2022
An Unpooling Layer for Graph Generation Yi Guo Dongmian Zou Gilad Lerman 65 2 0 04 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 100 0 0 31 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 59 3 0 30 May 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 127 3 0 20 May 2022
MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes Anton Ratnarajah Zhenyu Tang R. Aralikatti Tianyi Zhou AI4CE 117 36 0 18 May 2022
GPN: A Joint Structural Learning Framework for Graph Neural Networks Qianggang Ding Deheng Ye Tingyang Xu P. Zhao 47 0 0 12 May 2022
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization Ran Cheng Xinyu Jiang Yuan Chen Lige Liu Tao Sun 41 1 0 12 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 69 23 0 05 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 101 31 0 27 Apr 2022
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong 22 5 0 27 Apr 2022
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning Chenxin Xu Maosen Li Zhenyang Ni Ya Zhang Siheng Chen 93 156 0 19 Apr 2022
Neural Structured Prediction for Inductive Node Classification Meng Qu Huiyu Cai Jian Tang BDL GNN 62 18 0 15 Apr 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Hongzhi Zhang Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 112 83 0 15 Apr 2022
Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes M. Michelis Robert K. Katzschmann AI4CE 71 2 0 30 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 140 40 0 25 Mar 2022
Deep reinforcement learning guided graph neural networks for brain network analysis Xusheng Zhao Hongzhi Zhang Hao Peng Amin Beheshti Jessica J. M. Monaghan ... Mark Dras Qiong Dai Yangyang Li Philip S. Yu Lifang He GNN 120 47 0 18 Mar 2022
Graph Representation Learning with Individualization and Refinement Mohammed Haroon Dupty W. Lee 55 3 0 17 Mar 2022
OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction Wen-Yan Lin Chengwei Zheng Jun-hai Yong F. Xu 3DH 96 35 0 15 Mar 2022
Thermodynamics-informed graph neural networks Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto AI4CE PINN 92 32 0 03 Mar 2022
Differential equation and probability inspired graph neural networks for latent variable learning Zhuangwei Shi 121 3 0 28 Feb 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision P. Elinas Edwin V. Bonilla AI4CE 54 5 0 25 Feb 2022
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation Hemlata Tak Massimiliano Todisco Xin Wang Jee-weon Jung Junichi Yamagishi Nicholas W. D. Evans 131 168 0 24 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 103 12 0 17 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Helen Zhou 93 203 0 15 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Helen Zhou 65 21 0 13 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 123 258 0 07 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning Dongki Kim Jinheon Baek Sung Ju Hwang SSL 69 38 0 07 Feb 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Zhaoning Yu Hongyang Gao 73 46 0 01 Feb 2022
MotifExplainer: a Motif-based Graph Neural Network Explainer Zhaoning Yu Hongyang Gao 85 15 0 01 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 175 236 0 30 Jan 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 117 33 0 29 Jan 2022
Predicting Physics in Mesh-reduced Space with Temporal Attention Xu Han Han Gao Tobias Pfaff Jian-Xun Wang Liping Liu AI4CE 91 83 0 22 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 128 298 0 21 Jan 2022
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration Stefan Abi-Karam Yuqi He Rishov Sarkar Lakshmi Sathidevi Zihang Qiao Cong Hao GNN 31 16 0 20 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 70 36 0 20 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 103 39 0 19 Jan 2022
Evidence-aware Fake News Detection with Graph Neural Networks Weizhi Xu Jun Wu Qiang Liu Shu Wu Liang Wang GNN 75 87 0 18 Jan 2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing Nan Wu Hang Yang Yuan Xie Pan Li Cong Hao 59 54 0 18 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 97 19 0 16 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 134 2 0 04 Jan 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min Lin Xiangnan He Tat-Seng Chua CML OOD 90 161 0 30 Dec 2021
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Zijian Li 70 23 0 30 Dec 2021
Graph attentive feature aggregation for text-independent speaker verification Hye-jin Shim Ju-Sung Heo Jae-han Park Gareth Lee Ha-Jin Yu 105 16 0 23 Dec 2021
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows E. Simou 41 0 0 18 Dec 2021