Heterogeneous Graph Neural Network

Heterogeneous Graph Neural Networks (HGNNs) extend graph neural network capabilities to data with diverse node and edge types, aiming to learn more nuanced representations from complex relational data. Current research emphasizes efficient HGNN architectures, including those leveraging hierarchical structures, meta-paths, and hybrid aggregation methods, as well as addressing challenges like scalability, explainability, and robustness to adversarial attacks. HGNNs are proving valuable across diverse applications, from network intrusion detection and traffic flow prediction to recommendation systems and biological analysis, offering improved accuracy and interpretability compared to traditional methods.

Papers

May 7, 2024

May 3, 2024

SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li
Heterogeneous Graph Message Passing Heterogeneous Graph Neural Network COVID 19 Event Slot Slot Based Message Aggregation

April 8, 2024

HOEG: A New Approach for Object-Centric Predictive Process Monitoring
Tim K. Smit, Hajo A. Reijers, Xixi Lu
Novel Approach Heterogeneous Graph Neural Network Predictive Process Monitoring Object Centric Event Heterogeneous Causal Object Centric Process Mining Predictive Process

March 13, 2024

BG-HGNN: Toward Scalable and Efficient Heterogeneous Graph Neural Network
Junwei Su, Lingjun Mao, Chuan Wu
Potential Scalability Heterogeneous Graph Heterogeneous Graph Neural Network

March 9, 2024

Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour
Knowledge Graph Heterogeneous Graph Task Oriented Heterogeneous Graph Neural Network GNN Training Efficient Model Large Knowledge Graph Task Graph

February 29, 2024

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
Zhen Hao Wong, Hansi Yang, Xiaoyi Fu, Quanming Yao
Graph Neural Network Curriculum Learning Heterogeneous Graph Heterogeneous Graph Neural Network Training Loss

February 21, 2024

HetTree: Heterogeneous Tree Graph Neural Network
Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim
Heterogeneous Graph Neural Network Real World Graph Tree Attention

February 2, 2024

PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks
Jose L. Mellina Andreu, Luis Bernal, Antonio F. Skarmeta, Mina Ryten, Sara Álvarez, Alejandro Cisterna García, Juan A. Botía
Line by Line Explanation Heterogeneous Graph Neural Network Genetic Variant Genotype Phenotype Several Distinct Phenotype

January 18, 2024

HGAttack: Transferable Heterogeneous Graph Adversarial Attack
He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao
Adversarial Attack Heterogeneous Graph Heterogeneous Graph Neural Network Gray Box Adversarial Graph

December 23, 2023

Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao
Fine Grained Heterogeneous Graph Heterogeneous Graph Neural Network GNN Explanation Salient Event Graph Generation

October 23, 2023

October 19, 2023

End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment
Tong Liu, Hadi Meidani
Heterogeneous Graph Neural Network Transportation Network Traffic Assignment Multi Scale Traffic Traffic Flow Learning

October 18, 2023

Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi
Differential Privacy Recommender System Effective Recommendation Recommendation Model Heterogeneous Graph Neural Network Heterogeneous Information Network Heterogeneous Recommendation

October 15, 2023

Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks
Renyang Liu, Wei Zhou, Jinhong Zhang, Xiaoyuan Liu, Peiyuan Si, Haoran Li
Graph Neural Network Heterogeneous Graph Neural Network Model Inversion Attack

September 27, 2023

Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks
Xibai Lou, Houjian Yu, Ross Worobel, Yang Yang, Changhyun Choi
Heterogeneous Graph Neural Network Robot Skill 3D Convolutional Object Rearrangement Constrained Environment Adversarial Object

August 28, 2023

HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks
Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
Graph Neural Network Heterogeneous Graph Heterogeneous Graph Neural Network Heterogeneous Graph Learning

July 25, 2023

Finding Money Launderers Using Heterogeneous Graph Neural Networks
Fredrik Johannessen, Martin Jullum
Graph Neural Network Heterogeneous Graph Heterogeneous Graph Neural Network Message Passing Neural Network Money Laundering

July 4, 2023

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks
Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang
Heterogeneous Graph Heterogeneous Graph Neural Network Meta Path