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

November 13, 2024

A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis
Feiyu Yin, Yu Lei, Siyuan Dai, Wenwen Zeng, Guoqing Wu, Liang Zhan, Jinhua Yu
Heterogeneous Graph Inner Structure Heterogeneous Graph Neural Network Resting State Massive Connectivity Brain Connectivity

November 7, 2024

Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu
Temporal Information Heterogeneous Graph Neural Network Imputation Method Data Imputation Smoothing Factor Signal Imputation

November 2, 2024

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
Strong Generalization Pre Trained Model Heterogeneous Graph Neural Network Adapter Module Novel Generalization Tip Adapter

October 25, 2024

GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization
Margarita Bugueño, Hazem Abou Hamdan, Gerard de Melo
Text Summarization Node Classification Heterogeneous Graph Inner Structure Semantic Feature Heterogeneous Graph Neural Network Long Document Summarization

October 20, 2024

A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
Junwei Hu, Michael Bewong, Selasi Kwashie, Wen Zhang, Vincent M. Nofong, Guangsheng Wu, Zaiwen Feng
Graph Attention Network Heterogeneous Graph Neural Network Drug Target Interaction Heterogeneous Graph Contrastive Biomedical Network

October 14, 2024

Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Qianru Zhang, Haixin Wang, Siu-Ming Yiu, Hongzhi Yin
Data Augmentation Temporal Dependency Heterogeneous Graph Neural Network Temporal Graph Learning Spatio Temporal Graph Spatio Temporal Prediction Graph Masked

October 10, 2024

HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
Yumiao Zhao, Bo Jiang, Xiao Wang, Qin Xu, Jin Tang
Vision Language Model Heterogeneous Graph Heterogeneous Graph Neural Network Task Specific Knowledge Multi Modal Knowledge

September 17, 2024

MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception
Daniel Butterfield, Sandilya Sai Garimella, Nai-Jen Cheng, Lu Gan
Heterogeneous Graph Neural Network Morphological Differentiation Based Method Robot Morphology Contact Based Object Representation Morphological Symmetry Leg Detection

August 27, 2024

August 7, 2024

Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
Tong Liu, Hadi Meidani
Traffic Prediction Heterogeneous Graph Neural Network Temporal Graph Learning Traffic Flow Prediction Traffic Assignment

July 30, 2024

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
JongWoo Kim, SeongYeub Chu, HyeongMin Park, Bryan Wong, MunYong Yi
Link Prediction Heterogeneous Graph Node Embeddings Heterogeneous Graph Neural Network Multi Aspect Multi Dimensional Path

July 18, 2024

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang
Representation Learning Graph Transformer Heterogeneous Graph Heterogeneous Graph Neural Network Heterogeneous Information Network

July 16, 2024

Characterizing and Understanding HGNN Training on GPUs
Dengke Han, Mingyu Yan, Xiaochun Ye, Dongrui Fan
Heterogeneous Graph Single GPU New Characterization Heterogeneous Graph Neural Network Performance Bottleneck HGNN Model

June 19, 2024

Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar
Heterogeneous Graph Neural Network Post Hoc Explanation Land Use Feature Attribution Explanation

June 12, 2024

Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
Xueming Yan, Ziqi Wang, Yaochu Jin
Heterogeneous Graph Neural Network Global Feature Multi View Clustering GNN Cl Incomplete Multi View Clustering Global Clustering

May 29, 2024

LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification
Yufei Zhao, Shiduo Wang, Hua Duan
Heterogeneous Graph Graph Convolution Heterogeneous Graph Neural Network Heterogeneous Information Network

May 21, 2024

Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks
Dominik Köhler, Stefan Heindorf
Graph Neural Network Graph Structured Data Heterogeneous Graph Neural Network Description Logic Global Explanation Subgraph Explanation

May 16, 2024

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement
Hongwei Jin, Prasanna Balaprakash, Allen Zou, Pieter Ghysels, Aditi S. Krishnapriyan, Adam Mate, Arthur Barnes, Russell Bent
Power Grid Heterogeneous Graph Neural Network Geomagnetic Storm

May 10, 2024

Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
Yili Wang
Curriculum Learning Heterogeneous Graph Heterogeneous Graph Neural Network

Heterogeneous Graph Neural Network

Papers

A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis

Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters

GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization

A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction

Graph Masked Autoencoder for Spatio-Temporal Graph Learning

HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter

MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration

XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model

Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning

Characterizing and Understanding HGNN Training on GPUs

Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference

Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks

LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification

Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement

Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning