Attention-based Graph Neural Network for Semi-supervised Learning

10 March 2018

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

50 / 50 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 65 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 40 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 30 4 0 22 May 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 34 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
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 27 5 0 24 Mar 2023
The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework Zirui Ge Haiyan Guo Zhen Yang 26 1 0 19 Mar 2023
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 16 5 0 07 Nov 2022
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 32 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 2 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 45 373 0 05 Aug 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 48 1 0 12 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 21 3 0 05 Jul 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations Ivan Marisca Andrea Cini C. Alippi AI4TS 27 62 0 26 May 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 30 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 30 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 30 93 0 08 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 25 1,013 0 30 May 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
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 25 53 0 07 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 36 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 33 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 15 13 0 05 Nov 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 18 142 0 29 Oct 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 45 213 0 12 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 28 389 0 03 Jun 2020
Directed Graph Convolutional Network Zekun Tong Yuxuan Liang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 26 112 0 29 Apr 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 24 29 0 17 Jan 2020
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 17 80 0 25 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 18 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 4,230 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
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 19 313 0 16 Aug 2018
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 253 3,239 0 24 Nov 2016