Cover Image

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yanbei, Wang, Chongxu, Xiao, Zhitao, Geng, Lei, Pang, Yanwei, Wang, Xiao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hypergraph-enhanced Dual Semi-supervised Graph Classification
by: Ju, Wei, et al.
Published: (2024)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)

Joint Optimal Transport and Embedding for Network Alignment
by: Yu, Qi, et al.
Published: (2025)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
by: Wang, Yifan, et al.
Published: (2024)

BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)

Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Ju, Wei, et al.
Published: (2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
by: Ju, Wei, et al.
Published: (2024)

Simple Graph Condensation
by: Xiao, Zhenbang, et al.
Published: (2024)

SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
by: Hong, Ming-Yi, et al.
Published: (2024)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
by: Zhang, Zhongjian, et al.
Published: (2024)

Graph Fairness Learning under Distribution Shifts
by: Li, Yibo, et al.
Published: (2024)

Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
by: Luo, Yuankai, et al.
Published: (2023)

Strong Transitivity Relations and Graph Neural Networks
by: Mohamadi, Yassin, et al.
Published: (2024)

Demystifying Higher-Order Graph Neural Networks
by: Besta, Maciej, et al.
Published: (2024)

Hyperbolic Heterogeneous Graph Transformer
by: Park, Jongmin, et al.
Published: (2026)

Efficient Neural Common Neighbor for Temporal Graph Link Prediction
by: Zhang, Xiaohui, et al.
Published: (2024)

LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
by: Liu, Ping, et al.
Published: (2024)

Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups
by: Stephens, Anna, et al.
Published: (2024)

On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks
by: Guettala, Walid, et al.
Published: (2024)

A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection
by: Lakzaei, Batool, et al.
Published: (2025)

A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling
by: Hsu, Hung-Chun, et al.
Published: (2023)

Open-Set Graph Anomaly Detection via Normal Structure Regularisation
by: Wang, Qizhou, et al.
Published: (2023)

Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
by: Zhou, Wang-Tao, et al.
Published: (2025)

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network
by: Li, Chenglin, et al.
Published: (2024)

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
by: Tiukhova, Elena, et al.
Published: (2023)

Graph Data Condensation via Self-expressive Graph Structure Reconstruction
by: Liu, Zhanyu, et al.
Published: (2024)

A Survey of Data-Efficient Graph Learning
by: Ju, Wei, et al.
Published: (2024)

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2023)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
by: Xiang, Sheng, et al.
Published: (2024)

Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
by: Liu, Jiaxin, et al.
Published: (2025)

HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by: Cai, Xinjun, et al.
Published: (2021)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
by: Li, Zihao, et al.
Published: (2024)

When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
by: Shen, Zhixiang, et al.
Published: (2024)

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
by: Chen, Yankai, et al.
Published: (2024)

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
by: Li, Cheng-Te, et al.
Published: (2024)

Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
by: Park, Jongmin, et al.
Published: (2025)

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)