Cover Image

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, He, Zeng, Zhiwei, Wang, Yongwei, Miao, Chunyan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HGAttack: Transferable Heterogeneous Graph Adversarial Attack
by: Zhao, He, et al.
Published: (2024)

GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation
by: Sun, Yundong, et al.
Published: (2024)

OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
by: Badrinath, Anirudhan, et al.
Published: (2025)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
by: Wu, Renzhi, et al.
Published: (2025)

SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
by: Wang, Wenjun, et al.
Published: (2024)

Generative-Contrastive Heterogeneous Graph Neural Network
by: Wang, Yu, et al.
Published: (2024)

Heterogeneous Sequel-Aware Graph Neural Networks for Sequential Learning
by: Tiwari, Anushka, et al.
Published: (2025)

DiffGraph: Heterogeneous Graph Diffusion Model
by: Li, Zongwei, et al.
Published: (2025)

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

Graph Embedding in the Graph Fractional Fourier Transform Domain
by: Sheng, Changjie, et al.
Published: (2025)

A Comprehensive Survey on Deep Graph Representation Learning
by: Ju, Wei, et al.
Published: (2023)

Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)

Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation
by: Zhao, Xiangyu, et al.
Published: (2024)

SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning
by: Liang, Tiantian, et al.
Published: (2024)

GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
by: He, Jia-Xin, et al.
Published: (2026)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
by: Zhao, Chu, et al.
Published: (2024)

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
by: Salha-Galvan, Guillaume
Published: (2022)

HGC-Herd: Efficient Heterogeneous Graph Condensation via Representative Node Herding
by: Ou, Fuyan, et al.
Published: (2025)

Towards Practical Large-scale Dynamical Heterogeneous Graph Embedding: Cold-start Resilient Recommendation
by: Long, Mabiao, et al.
Published: (2025)

Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
by: Long, Junfeng, et al.
Published: (2024)

Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification
by: Zhang, Xiaoxiong, et al.
Published: (2024)

RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
by: Li, Yuan, et al.
Published: (2025)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)

GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
by: Miao, Ruizhong, et al.
Published: (2026)

Mixed Supervised Graph Contrastive Learning for Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)

Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
by: Li, Mufei, et al.
Published: (2024)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
by: Wang, Leyao, et al.
Published: (2025)

Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity
by: Fan, Ziwei, et al.
Published: (2023)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
by: Jeon, Dong Hyun, et al.
Published: (2025)

Neural Network Graph Similarity Computation Based on Graph Fusion
by: Chang, Zenghui, et al.
Published: (2025)

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
by: Hu, Binbin, et al.
Published: (2024)

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
by: Cao, Mengyang, et al.
Published: (2025)

Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)

GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace
by: Sacha, Mikołaj, et al.
Published: (2025)

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

Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks
by: Zhang, Wei, et al.
Published: (2024)

CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
by: Lee, Yeon-Chang, et al.
Published: (2024)

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
by: Nguyen, Minh-Anh, et al.
Published: (2025)