Heterogeneous Graph

Heterogeneous graphs, which consist of different types of nodes and edges, are powerful tools for modeling complex real-world systems with diverse relationships. Current research focuses on developing effective graph neural network (GNN) architectures, including transformers and attention mechanisms, to learn representations from these complex structures, often addressing challenges like heterophily (nodes of the same type having dissimilar neighbors) and over-smoothing. These advancements are improving performance in various applications, such as recommendation systems, fake news detection, and resource allocation in wireless networks, by leveraging the rich relational information encoded within heterogeneous graphs. The development of robust and scalable algorithms for heterogeneous graph learning is a significant area of ongoing research, with a focus on improving efficiency and accuracy for large-scale datasets.

Papers

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 27, 2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Hung Quoc Viet Nguyen, Hongzhi Yin
Heterogeneous Graph Heterogeneous Information Network Semantic Imbalance Segmentation Synthesis

February 21, 2023

Link Prediction on Latent Heterogeneous Graphs
Trung-Kien Nguyen, Zemin Liu, Yuan Fang
Representation Learning Link Prediction Heterogeneous Graph Heterogeneous Information Network Latent Semantics Heterogeneous Graph Network

February 18, 2023

Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data
Jinghan Huang, Moo K. Chung, Anqi Qiu
Heterogeneous Graph Functional Connectivity Hodge Laplacian

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

February 7, 2023

An entity-guided text summarization framework with relational heterogeneous graph neural network
Jingqiang Chen
Neural Network Text Summarization Heterogeneous Graph Entity Embeddings Summarization Quality Sentence Entity Graph

February 2, 2023

Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric
Eivind Meyer, Maurice Brenner, Bowen Zhang, Max Schickert, Bilal Musani, Matthias Althoff
Graph Neural Network Autonomous Driving Trajectory Prediction Real Power Heterogeneous Graph Deep Learning Framework Geometric Deep Learning Graph Datasets

January 30, 2023

Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation
Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew Gombolay
Heterogeneous Graph Human Robot Team

January 25, 2023

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection
Shaoxiong Ji, Ya Gao, Pekka Marttinen
Natural Language Processing Heterogeneous Graph Attention Network Adverse Drug Adverse Drug Event

January 16, 2023

Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
Kun Wu, Mert Hidayetoğlu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-mei Hwu
Graph Neural Network Heterogeneous Graph Relational Graph Code Efficiency Open Graph Benchmark GPU Architecture HGNN Model

January 9, 2023

SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
Node Classification Heterogeneous Graph Graph Convolution Heterogeneous Graph Neural Network Scene Structure Traffic Scene Node Feature

January 8, 2023

AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network
Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
Heterogeneous Graph Heterogeneous Graph Neural Network Heterogeneous GNN Attribute Completion

December 28, 2022

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou
Contrastive Learning Heterogeneous Graph Negative Sampling Contrastive Objective Prototypical Contrastive Learning Heterogeneous Graph Contrastive

December 16, 2022

Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing
Waqwoya Abebe, Ali Jannesari
Heterogeneous Graph Data Heterogeneity Decentralized Learning Decentralized Federated Learning Peer to Peer

December 13, 2022

Exploring Fake News Detection with Heterogeneous Social Media Context Graphs
Gregor Donabauer, Udo Kruschwitz
Fake News Heterogeneous Graph Fake News Detection Graph Classification Contextual Information Social Context

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 23, 2022

MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Xinyu Fu, Irwin King
Heterogeneous Graph Heterogeneous Graph Neural Network Meta Path

November 20, 2022

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs
Ziming Wan, Deqing Wang, Xuehua Ming, Fuzhen Zhuang, Chenguang Du, Ting Jiang, Zhengyang Zhao
Contrastive Learning Heterogeneous Graph Large Scale Graph Heterogeneous Graph Neural Network

November 14, 2022

Heterogeneous Graph Sparsification for Efficient Representation Learning
Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi
Representation Learning Heterogeneous Graph Random Sparsification Graph Sparsification

November 9, 2022

Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document
Chen Lin, Ye Liu, Siyu An, Di Yin
Heterogeneous Graph Chinese Character Sentence Embeddings Unsupervised Extractive Summarization Summarization Datasets

Heterogeneous Graph

Papers

Heterogeneous Graph Learning for Acoustic Event Classification

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

Link Prediction on Latent Heterogeneous Graphs

Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data

Homophily-oriented Heterogeneous Graph Rewiring

An entity-guided text summarization framework with relational heterogeneous graph neural network

Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric

Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures

SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks

AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples

Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing

Exploring Fake News Detection with Heterogeneous Social Media Context Graphs

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

MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs

Heterogeneous Graph Sparsification for Efficient Representation Learning

Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document