Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs

Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs

11 June 2021

Papers citing "Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs"

17 / 17 papers shown

Title
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design Tony Shen Seonghwan Seo Ross Irwin Kieran Didi Simon Olsson Woo Youn Kim Martin Ester 51 0 0 10 Apr 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph Shiqi Wang Zhibo Zhang Libing Fang Cam-Tu Nguyen Wenzhon Li 66 0 0 26 Feb 2025
Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo Minsu Kim Tony Shen Martin Ester Jinkyoo Park Sungsoo Ahn Woo Youn Kim 42 3 0 06 Oct 2024
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs Hongxun Zhou Xiangyu Chen Ye Yuan 14 0 0 31 Jul 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning Qiuyu Zhu Liang Zhang Qianxiong Xu Kaijun Liu Cheng Long Xiaoyang Wang 37 0 0 18 Jul 2024
Inferring Pluggable Types with Machine Learning Kazi Amanul Islam Siddiqui Martin Kellogg 33 1 0 21 Jun 2024
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition Lin Zuo Kunshan Yang Xianlong Tian Kunbin He Yongqi Ding Mengmeng Jing 35 1 0 06 Jun 2024
Decision-focused Graph Neural Networks for Combinatorial Optimization Yang Liu Chuan Zhou Peng Zhang Shirui Pan Zhao Li Hongyang Chen GNN AI4CE 41 1 0 05 Jun 2024
Structured Click Control in Transformer-based Interactive Segmentation Long Xu Yong-Xiang Chen Rui Huang Feng Wu Shiwu Lai 27 0 0 07 May 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 35 2 0 09 Mar 2024
Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs Hengnian Gu Zhiyi Duan Pan Xie Dongdai Zhou AI4Ed 27 1 0 13 Feb 2024
Meta-Path Learning for Multi-relational Graph Neural Networks Francesco Ferrini Antonio Longa Takahiro Miki Manfred Jaeger 21 4 0 29 Sep 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks Xiao Yang Xuejiao Zhao Zhiqi Shen 27 0 0 25 May 2023
Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs Jiwoong Park Jisu Jeong Kyungmin Kim Jin Young Choi 24 1 0 26 Oct 2022
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,170 0 03 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 276 1,944 0 09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 206 885 0 07 Jun 2018