Heterogeneous Graph Transformer

3 March 2020

Yuxiao Dong

Papers citing "Heterogeneous Graph Transformer"

50 / 431 papers shown

Title
Exploring 360-Degree View of Customers for Lookalike Modeling Md. Mostafizur Rahman Daisuke Kikuta Satyen Abrol Yuya Hirate Toyotaro Suzumura Pablo S. Loyola Takuma Ebisu Manoj Kondapaka 6 4 0 17 Apr 2023
Learning To Rank Resources with GNN Ulugbek Ergashev Eduard Constantin Dragut W. Meng GNN 17 4 0 17 Apr 2023
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction Guoxiu He Zhi Xue Zhuoren Jiang Yangyang Kang Star X. Zhao Wei Lu 6 1 0 16 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 12 62 0 11 Apr 2023
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs Maolin Luo Xiang Zhang 8 0 0 03 Apr 2023
GRAF: Graph Attention-aware Fusion Networks Ziynet Nesibe Kesimoglu S. Bozdag GNN 17 2 0 29 Mar 2023
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach Zhongcan Li Ping Huang Chao Wen Filipe Rodrigues 11 0 0 27 Mar 2023
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation Xiao Wang Tian Gan Yin-wei Wei Jianlong Wu Dai Meng Liqiang Nie 11 3 0 15 Mar 2023
Heterogeneous Graph Learning for Acoustic Event Classification A. Shirian Mona Ahmadian Krishna Somandepalli T. Guha 17 2 0 05 Mar 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach Mahmoud Nazzal Abdallah Khreishah Joyoung Lee Shaahin Angizi Ala I. Al-Fuqaha Mohsen Guizani 15 4 0 28 Feb 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks Xin Gao Wentao Zhang Tong Chen Junliang Yu Hung Quoc Viet Nguyen Hongzhi Yin 12 7 0 27 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 19 27 0 22 Feb 2023
Link Prediction on Latent Heterogeneous Graphs Trung-Kien Nguyen Zemin Liu Yuan Fang 13 8 0 21 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring Jiayan Guo Lun Du Wendong Bi Qiang Fu Xiaojun Ma Xu Chen Shi Han Dongmei Zhang Yan Zhang 8 26 0 13 Feb 2023
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 30 84 0 08 Feb 2023
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study Yu Zhang Bowen Jin Qi Zhu Yu Meng Jiawei Han 21 19 0 07 Feb 2023
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric Eivind Meyer Maurice Brenner Bowen Zhang Max Schickert Bilal Musani Matthias Althoff GNN 12 6 0 02 Feb 2023
Holistic Graph-based Motion Prediction Daniel Grimm Philip Schorner M. Dressler J. -Marius Zöllner 6 11 0 31 Jan 2023
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention Xiaolong Xu Lingjuan Lyu Yihong Dong Yicheng Lu Weiqiang Wang Hong Jin FedML 14 2 0 27 Jan 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing Yuchen Yan Kaize Ding Chanyoung Park Yada Zhu Huan Liu Hanghang Tong SSL 17 11 0 25 Jan 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 11 2 0 20 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 33 0 0 19 Jan 2023
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures Kun Wu Mert Hidayetoğlu Xiang Song Sitao Huang Da Zheng Israt Nisa Wen-mei W. Hwu GNN 14 3 0 16 Jan 2023
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network Guanghui Zhu Zhen-Wei Zhu Wen Wang Zhuoer Xu C. Yuan Y. Huang 8 5 0 08 Jan 2023
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark S. Shi Kai Qiao Jian Chen Shuai Yang Jie-jin Yang Baojie Song Linyuan Wang Binghai Yan 10 11 0 03 Jan 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples Jianxiang Yu Qingqing Ge Xiang Li Aoying Zhou 8 3 0 28 Dec 2022
Refined Edge Usage of Graph Neural Networks for Edge Prediction Jiarui Jin Yangkun Wang Weinan Zhang Quan Gan Xiang Song Yong Yu Zheng-Wei Zhang David Wipf 15 1 0 25 Dec 2022
Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey Yuxin Wang Jieru Lin Zhiwei Yu Wei Hu Börje F. Karlsson 10 10 0 09 Dec 2022
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN Shuhe Wang Yuxian Meng Rongbin Ouyang Jiwei Li Tianwei Zhang Lingjuan Lyu Guoyin Wang 6 7 0 05 Dec 2022
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network Kanghoon Yoon Kibum Kim Jinyoung Moon Chanyoung Park 12 19 0 01 Dec 2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation Yingxi Chen Siwei Qiang Mingming Ha Xiaolei Liu Shaoshuai Li Lingfeng Yuan Xiaobo Guo Zheng Hua Zhu 8 1 0 30 Nov 2022
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 12 5 0 30 Nov 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 18 2 0 28 Nov 2022
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks Chao Li Hao Xu Kun He 17 10 0 27 Nov 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks Zhen-Ji Huang Yunyang Huang Peng Qian Jianhai Chen Qinming He GNN 11 4 0 26 Nov 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks Xinyu Fu Irwin King 11 14 0 23 Nov 2022
Learnable Graph Convolutional Attention Networks Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera GNN 8 8 0 21 Nov 2022
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs Zimin Wan Deqing Wang Xuehua Ming Fuzhen Zhuang Chenguang Du Ting Jiang Zhengyang Zhao 23 0 0 20 Nov 2022
A survey on knowledge-enhanced multimodal learning Maria Lymperaiou Giorgos Stamou 22 6 0 19 Nov 2022
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems Qian Li Jianxin Li Lihong Wang Cheng Ji Yiming Hei Jiawei Sheng Qingyun Sun Shan Xue P. Xie 8 4 0 15 Nov 2022
Heterogeneous Graph Sparsification for Efficient Representation Learning Chandan Chunduru Chunjiang Zhu Blake Gains J. Bi 15 0 0 14 Nov 2022
MGTCOM: Community Detection in Multimodal Graphs E. Dmitriev M. Chekol S. Wang 14 0 0 10 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation Xin Zhou Jinglong Wang Yong Liu Xin Wu Zhiqi Shen Cyril Leung 14 15 0 05 Nov 2022
SMAuC -- The Scientific Multi-Authorship Corpus Janek Bevendorff Philipp Sauer Lukas Gienapp Wolfgang Kircheis Erik Korner Benno Stein Martin Potthast 6 0 0 04 Nov 2022
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection Jun Zhan Chengkun Wu Canqun Yang Qiucheng Miao Xiandong Ma AI4TS 6 1 0 01 Nov 2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks Tiehua Zhang Yuze Liu Yaohan Yao Youhua Xia Xin Chen Xiaowei Huang Jiongdao Jin 11 1 0 31 Oct 2022
Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs Jiwoong Park Jisu Jeong Kyungmin Kim Jin Young Choi 9 0 0 26 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs M. F. Balin Ümit V. Çatalyürek 8 11 0 24 Oct 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang SSL 6 26 0 19 Oct 2022
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs Rui Zhang Xiaoyan Zhao Bayu Distiawan Trisedya Min Yang Hong Cheng Jianzhong Qi 11 0 0 16 Oct 2022