Attention-based Graph Neural Network for Semi-supervised Learning

10 March 2018

Papers citing "Attention-based Graph Neural Network for Semi-supervised Learning"

42 / 42 papers shown

Title
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting Hao Wu Haomin Wen Guibin Zhang Yutong Xia Kai Wang Yuxuan Liang Yu Zheng Kun Wang 62 2 0 17 Jan 2025
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 35 0 0 21 Jun 2024
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 24 6 0 01 Jul 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Hongjun Wang Jiyuan Chen Lun Du Qiang Fu Shi Han Xuan Song CML GNN 27 4 0 22 May 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 26 2 0 31 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 18 3 0 25 Mar 2023
The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework Zirui Ge Haiyan Guo Zhen Yang 24 1 0 19 Mar 2023
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks Ryien Hosseini F. Simini Austin R. Clyde A. Ramanathan 21 5 0 04 Nov 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 27 10 0 14 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 1 0 30 Sep 2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition Jianchao Lu Yuzhe Tian Shuang Wang Michael Sheng Xianglin Zheng GNN 24 6 0 26 Sep 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 39 370 0 05 Aug 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 42 1 0 12 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 19 3 0 05 Jul 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 31 296 0 27 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 26 4 0 15 Mar 2022
Differential equation and probability inspired graph neural networks for latent variable learning Zhuangwei Shi 14 3 0 28 Feb 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model? Yifan Hou Guoji Fu Mrinmaya Sachan KELM 33 1 0 02 Feb 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min-Bin Lin Xiangnan He Tat-Seng Chua CML OOD 17 152 0 30 Dec 2021
TextRGNN: Residual Graph Neural Networks for Text Classification Jiayuan Chen Boyu Zhang Yinfei Xu Meng Wang 27 4 0 30 Dec 2021
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks Yu Zhao Shaopeng Wei Huaming Du Xingyan Chen Qing Li Fuzhen Zhuang J. Liu Gang Kou 28 10 0 24 Dec 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 17 2 0 25 Nov 2021
Multiscale Laplacian Learning E. Merkurjev D. Nguyen Guo-Wei Wei 48 4 0 08 Sep 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation Bingfeng Zhang Jimin Xiao Jianbo Jiao Yunchao Wei Yao-Min Zhao 27 93 0 08 Jun 2021
Motif Prediction with Graph Neural Networks Maciej Besta Raphael Grob Cesare Miglioli Nico Bernold Grzegorz Kwa'sniewski ... Raghavendra Kanakagiri Saleh Ashkboos Lukas Gianinazzi Nikoli Dryden Torsten Hoefler 24 37 0 26 May 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 34 21 0 28 Apr 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 30 83 0 10 Mar 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 82 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 25 115 0 16 Dec 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 13 13 0 05 Nov 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 27 225 0 30 Sep 2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning Xinshuo Weng Yongxin Wang Yunze Man Kris M. Kitani 3DPC VOT 40 213 0 12 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 25 389 0 03 Jun 2020
Directed Graph Convolutional Network Zekun Tong Yuxuan Liang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 18 112 0 29 Apr 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 22 29 0 17 Jan 2020
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 15 8 0 22 Oct 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 17 24 0 24 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,223 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 11 3,109 0 19 Feb 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016