Cover Image

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Qiuyu, Zhang, Liang, Xu, Qianxiong, Liu, Kaijun, Long, Cheng, Wang, Xiaoyang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
by: Zhu, Qiuyu, et al.
Published: (2025)

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
by: Zhu, Qiuyu, et al.
Published: (2025)

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
by: Liu, Hengyu, et al.
Published: (2025)

Gaussian Relational Graph Transformer
by: Ding, Zezhong, et al.
Published: (2026)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
by: Liu, Zhouyang, et al.
Published: (2025)

A Self-Explainable Heterogeneous GNN for Relational Deep Learning
by: Ferrini, Francesco, et al.
Published: (2024)

Category-Aware Semantic Caching for Heterogeneous LLM Workloads
by: Wang, Chen, et al.
Published: (2025)

Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
by: Tang, Yafeng, et al.
Published: (2025)

Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025)

Relational Graph Transformer
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)

QirK: Question Answering via Intermediate Representation on Knowledge Graphs
by: Scheerer, Jan Luca, et al.
Published: (2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving
by: Hu, Zhengding, et al.
Published: (2025)

A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
by: Wang, Yun, et al.
Published: (2024)

Graph Neural Networks on Graph Databases
by: Lopushanskyy, Dmytro, et al.
Published: (2024)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)

GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning
by: Zhan, Zhentao, et al.
Published: (2025)

Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
by: Gao, Anjun, et al.
Published: (2026)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
by: Yang, Xinyu, et al.
Published: (2024)

Graph-based Active Learning for Entity Cluster Repair
by: Christen, Victor, et al.
Published: (2024)

Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity
by: Scott, Mary, et al.
Published: (2024)

Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
by: Bărbulescu, George-Octavian, et al.
Published: (2024)

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
by: Li, Haoyang, et al.
Published: (2025)

CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning
by: Zhang, Jun, et al.
Published: (2025)

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
by: Liu, Nian, et al.
Published: (2023)

C$^{2}$TC: A Training-Free Framework for Efficient Tabular Data Condensation
by: Xu, Sijia, et al.
Published: (2026)

Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
by: Weng, Han, et al.
Published: (2025)

Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs
by: Bai, Qijie, et al.
Published: (2024)

Generating Robust Counterfactual Witnesses for Graph Neural Networks
by: Qiu, Dazhuo, et al.
Published: (2024)

Pruning Minimal Reasoning Graphs for Efficient Retrieval-Augmented Generation
by: Wang, Ning, et al.
Published: (2026)

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

FedST: Secure Federated Shapelet Transformation for Time Series Classification
by: Liang, Zhiyu, et al.
Published: (2023)

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion
by: Zhang, Jiasheng, et al.
Published: (2024)

gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
by: Sabir, Humera, et al.
Published: (2025)

Federated Prototype Graph Learning
by: Wu, Zhengyu, et al.
Published: (2025)

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
by: Qiao, Lianpeng, et al.
Published: (2025)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
by: Wang, Minjie, et al.
Published: (2024)

Interpreting Graph Inference with Skyline Explanations
by: Qiu, Dazhuo, et al.
Published: (2025)

Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs
by: Yang, Yichun, et al.
Published: (2026)

Federated Continual Graph Learning
by: Zhu, Yinlin, et al.
Published: (2024)