Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks

30 December 2021

Ming Ding

Chang Zhou

Yuxiao Dong

Papers citing "Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks"

27 / 27 papers shown

Title
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Haokai Zhang Shengtao Zhang Zijian Cai Heng Wang Ruixuan Zhu Zinan Zeng Minnan Luo 54 0 0 24 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion Xiang Li Haobing Liu Jianpeng Qi Yuan Cao Guoqing Chao Yanwei Yu GNN 51 0 0 22 Apr 2025
LocAgent: Graph-Guided LLM Agents for Code Localization Zhaoling Chen Xiangru Tang Gangda Deng Fang Wu Jialong Wu Zhiwei Jiang Viktor Prasanna Arman Cohan Xingyao Wang LLMAG 99 3 0 12 Mar 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective Yihong Chen Pushkar Mishra Luca Franceschi Pasquale Minervini Pontus Stenetorp Sebastian Riedel 67 20 0 17 Jan 2025
Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network Yihong Tang Junlin He Zhan Zhao HAI 42 5 0 03 Jan 2025
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation Ming-Yi Hong Yi-Hsiang Huang Shao-En Lin You-Chen Teng Chih-Yu Wang Che Lin 47 0 0 07 Jan 2024
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network Tong Li Jiale Deng Yanyan Shen Luyu Qiu Hu Yongxiang Caleb Chen Cao 23 5 0 23 Dec 2023
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter Ying-Ying Chang Wei-Yao Wang Wenjie Peng 32 4 0 17 Dec 2023
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks Yihong Ma Ning Yan Jiayu Li Masood S. Mortazavi Nitesh V. Chawla 29 18 0 23 Oct 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 21 0 0 22 Sep 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 26 6 0 31 May 2023
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline Alexander Shevtsov D. Antonakaki Ioannis Lamprou Polyvios Pratikakis Sotiris Ioannidis 20 0 0 31 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 41 4 0 16 May 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 19 6 0 15 Mar 2023
Heterogeneous Graph Learning for Acoustic Event Classification A. Shirian Mona Ahmadian Krishna Somandepalli T. Guha 25 2 0 05 Mar 2023
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning Zhihang Hu Qinze Yu Yucheng Guo Taifeng Wang Irwin King Xin Gao Le Song Yu-Hu Li GNN 26 9 0 14 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 27 18 0 03 Jan 2023
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 56 123 0 06 Jul 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 22 21 0 18 Jun 2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information? P. Sevestre M. Neyret 10 0 0 19 May 2022
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation Wentao Ning Reynold Cheng Jiajun Shen Nur Al Hasan Haldar B. Kao Xiao Yan Nan Huo Wai Lam Tian Li Bo Tang 32 18 0 23 Dec 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning Gen Shi Yifan Zhu Wenjin Liu Quanming Yao Xia Li 23 7 0 16 Oct 2021
xFraud: Explainable Fraud Transaction Detection Susie Xi Rao Shuai Zhang Zhichao Han Zitao Zhang Wei Min Zhiyao Chen Yinan Shan Yang Zhao Ce Zhang 33 49 0 24 Nov 2020
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements Noveen Sachdeva Julian McAuley 11 59 0 25 May 2020
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 270 1,944 0 09 Jun 2018