Graph Transformer Networks

6 November 2019

Papers citing "Graph Transformer Networks"

50 / 401 papers shown

Title
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning Tong Chen Hongzhi Yin Jie Ren Zi Huang Xiangliang Zhang Hao Wang 25 4 0 04 Apr 2021
Learning on heterogeneous graphs using high-order relations See Hian Lee Feng Ji Wee Peng Tay 25 4 0 29 Mar 2021
Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining Xin Mao Wenting Wang Yuanbin Wu Man Lan 16 108 0 29 Mar 2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph Xinliang Wu Mengying Jiang Guizhong Liu GNN 22 7 0 14 Mar 2021
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks George Dasoulas Kevin Scaman Aladin Virmaux GNN 16 39 0 08 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 19 33 0 08 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 19 16 0 01 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim OOD SSL 14 8 0 01 Mar 2021
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network Zhenyu Han Fengli Xu Jinghan Shi Yunfei Shang Haorui Ma Pan Hui Yong Li 17 31 0 21 Feb 2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs Yuwei Cao Hao Peng Jia Wu Yingtong Dou Jianxin Li Philip S. Yu 19 90 0 21 Jan 2021
Topology-aware Tensor Decomposition for Meta-graph Learning Hansi Yang Quanming Yao James T. Kwok 33 0 0 04 Jan 2021
Hop-Hop Relation-aware Graph Neural Networks Li Zhang Yan Ge Haiping Lu GNN 30 6 0 21 Dec 2020
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks Xiang Li Danhao Ding B. Kao Yizhou Sun N. Mamoulis 32 46 0 18 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 18 719 0 17 Dec 2020
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
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 30 294 0 30 Nov 2020
xFraud: Explainable Fraud Transaction Detection Susie Xi Rao Shuai Zhang Zhichao Han Zitao Zhang Wei Min Zhiyao Chen Yinan Shan Yang Zhao Ce Zhang 23 49 0 24 Nov 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 11 15 0 29 Oct 2020
Personalised Meta-path Generation for Heterogeneous GNNs Zhiqiang Zhong Cheng-Te Li Jun Pang 16 4 0 26 Oct 2020
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction Amir Pouran Ben Veyseh Tuan Ngo Nguyen Thien Huu Nguyen GNN 24 47 0 26 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 10 62 0 22 Oct 2020
Meta-path Free Semi-supervised Learning for Heterogeneous Networks Shin-woo Park Byunguk Bae Jinyoung Yeo Seung-won Hwang 27 1 0 18 Oct 2020
A Survey of Knowledge-Enhanced Text Generation Wenhao Yu Chenguang Zhu Zaitang Li Zhiting Hu Qingyun Wang Heng Ji Meng-Long Jiang 21 278 0 09 Oct 2020
Layer-stacked Attention for Heterogeneous Network Embedding Nhat Chau Tran Jean X. Gao 14 1 0 17 Sep 2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks Qingyun Sun Hao Peng Jianxin Li Senzhang Wang Xiangyu Dong Liangxuan Zhao Philip S. Yu Lifang He 13 20 0 30 Aug 2020
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks Arber Zela Julien N. Siems Lucas Zimmer Jovita Lukasik M. Keuper Frank Hutter 34 75 0 22 Aug 2020
A Learned Performance Model for Tensor Processing Units Samuel J. Kaufman P. Phothilimthana Yanqi Zhou Charith Mendis Sudip Roy Amit Sabne Mike Burrows 17 8 0 03 Aug 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 26 67 0 16 Jul 2020
Sparse Graph to Sequence Learning for Vision Conditioned Long Textual Sequence Generation Aditya Mogadala Marius Mosbach Dietrich Klakow VLM 69 0 0 12 Jul 2020
Multi-Agent Routing Value Iteration Network Quinlan Sykora Mengye Ren R. Urtasun 25 38 0 09 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer Daniel D. Johnson Hugo Larochelle Daniel Tarlow GNN AI4CE 6 16 0 09 Jul 2020
GCN for HIN via Implicit Utilization of Attention and Meta-paths Di Jin Zhizhi Yu Dongxiao He Carl Yang Philip S. Yu Jiawei Han GNN 6 10 0 06 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 21 28 0 03 Jul 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review Marjane Khodatars A. Shoeibi Delaram Sadeghi Navid Ghaasemi M. Jafari ... Abbas Khosravi S. Nahavandi Sadiq Hussain U. Acharya M. Berk 22 202 0 02 Jul 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J. Zaki 22 409 0 21 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 18 36 0 18 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need? Sang-yong Yoo Young-Seok Kim Kang Lee Kuhwan Jeong Junhwi Choi Hoshik Lee Y. S. Choi GNN 14 11 0 09 Jun 2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Zhiping Xiao Weiping Song Haoyan Xu Zhicheng Ren Yizhou Sun 9 71 0 02 Jun 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang Ziyu Guan Jianxin Li Wei Zhao Jiangtao Cui Quan Wang GNN 19 171 0 27 May 2020
Explainable Link Prediction for Emerging Entities in Knowledge Graphs Rajarshi Bhowmik Gerard de Melo LRM 6 3 0 01 May 2020
Improving Expressivity of Graph Neural Networks Stanislaw J. Purgal 6 4 0 08 Apr 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation M. Moghaddam Qi Wu Ehsan Abbasnejad Javen Qinfeng Shi 10 4 0 07 Apr 2020
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations Xiaoming Liu Qirui Li Chao Shen Xi Peng Yadong Zhou X. Guan GNN SSL 18 0 0 13 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,169 0 03 Mar 2020
Generalization and Representational Limits of Graph Neural Networks Vikas K. Garg Stefanie Jegelka Tommi Jaakkola GNN 26 302 0 14 Feb 2020
Universal Graph Transformer Self-Attention Networks D. Q. Nguyen T. Nguyen Dinh Q. Phung ViT 26 63 0 26 Sep 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Shupeng Gui Xiangliang Zhang Pan Zhong Shuang Qiu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 11 15 0 25 Sep 2019
Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data Y. Li J. M. F. Moura AI4TS 22 28 0 09 Sep 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,397 0 20 Dec 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 239 1,811 0 25 Nov 2016