Heterogeneous Graph Learning

Heterogeneous graph learning focuses on analyzing complex data represented as graphs with diverse node and edge types, aiming to extract meaningful representations and insights from these intricate relationships. Current research emphasizes developing efficient and generalizable model architectures, such as heterogeneous graph neural networks (HGNNs), often incorporating techniques like attention mechanisms, meta-path analysis, and prompt tuning to improve performance on various downstream tasks. This field is significant because it enables the analysis of multifaceted real-world data across diverse domains, including biomedicine, social networks, and cybersecurity, leading to improved accuracy and efficiency in tasks like anomaly detection, recommendation systems, and multi-modal data fusion.

Papers

November 4, 2024

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning
Zhuoning Guo, Ruiqian Han, Hao Liu
LeArning Abstract Federated Graph Learning Heterogeneous Graph Learning Federated Prompt Transferable Graph Neural

October 20, 2024

Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing
Yong Zhao, Zhengqiu Zhu, Chen Gao, En Wang, Jincai Huang, Fei-Yue Wang
Graph Attention Network Multi Task Model Task Allocation Heterogeneous Graph Learning Multi Task Optimization Question Based Dependency Mobile Crowdsourcing

July 8, 2024

GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation
Chenxin Li, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan
Cross Modal Multimodal Learning Modality Specific Modal Feature Multi Modal Representation Heterogeneous Graph Learning

May 22, 2024

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
Zhenyu Pan, Yoonsung Jeong, Xiaoda Liu, Han Liu
Heterogeneous Graph Selective State Space Model Heterogeneous Graph Learning Graph Architecture

February 25, 2024

HiGPT: Heterogeneous Graph Language Model
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
Language Model Heterogeneous Graph Heterogeneous Graph Learning Graph Tokenization

October 23, 2023

October 17, 2023

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
Yulan Hu, Zhirui Yang, Sheng Ouyang, Yong Liu
Self Supervised Learning Latent Representation Graph Learning Heterogeneous Graph Learning

September 18, 2023

A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
Dibaloke Chanda, Nasim Yahya Soltani
Graph Neural Network Fault Detection Smart Grid Distribution System Heterogeneous Graph Learning Fault Resilience

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 10, 2023

Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold
Tuc Nguyen-Van, Dung D. Le, The-Anh Ta
Graph Representation Learning Graph Representation Real World Graph Heterogeneous Graph Learning Product Manifold Mixed Curvature

July 7, 2023

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Peng Qi, Zhijun Ding, Jiong Jin
LeArning Abstract Graph Learning Nested Hypergraphs Dynamic Learning Hypergraph Learning Heterogeneous Graph Learning

June 18, 2023

STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization
Kyle Min
Heterogeneous Graph Learning Ego4D AudioVisual EGO4D Challenge Audio Visual Diarization

May 16, 2023

FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Xinyu Fu, Irwin King
Heterogeneous Graph Heterogeneous Graph Neural Network Federated Setting Federated Graph Learning Heterogeneous Graph Learning

April 13, 2023

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo
Heterogeneous Graph Adjacency Matrix Multi Relational Heterogeneous Graph Learning

March 5, 2023

Heterogeneous Graph Learning for Acoustic Event Classification
Amir Shirian, Mona Ahmadian, Krishna Somandepalli, Tanaya Guha
Heterogeneous Graph Video Data Event Classification Heterogeneous Graph Learning

February 13, 2023

Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
Heterogeneous Graph Heterogeneous Graph Learning Graph Rewiring

November 30, 2022

Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu
Data Augmentation Semi Supervised Heterogeneous Graph Heterogeneous Graph Learning Level Data Augmentation

November 28, 2022

Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park
Multi Modal Medical Data Heterogeneous Graph Learning Effective Graph

October 31, 2022

Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Tiehua Zhang, Yuze Liu, Yao Yao, Youhua Xia, Xin Chen, Xiaowei Huang, Jiong Jin
Graph Representation Learning Direct Convolution Heterogeneous Graph Graph Learning Model Heterogeneous Graph Learning

Heterogeneous Graph Learning

Papers

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning

Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing

GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model

HiGPT: Heterogeneous Graph Language Model

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks

Efficient Heterogeneous Graph Learning via Random Projection

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning

A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid

HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks

Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs

STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization

FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs

Heterogeneous Graph Learning for Acoustic Event Classification

Homophily-oriented Heterogeneous Graph Rewiring

Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation

Heterogeneous Graph Learning for Multi-modal Medical Data Analysis

Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks