Cover Image

HGMP:Heterogeneous Graph Multi-Task Prompt Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiao, Pengfei, Ni, Jialong, Jin, Di, Guo, Xuan, Liu, Huan, Chen, Hongjiang, Bi, Yanxian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
by: Jiao, Pengfei, et al.
Published: (2025)

TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism
by: Chen, Hongjiang, et al.
Published: (2026)

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

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
by: Wang, Yuling, et al.
Published: (2025)

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
by: Chen, Hongjiang, et al.
Published: (2026)

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
by: Li, Peiyuan, et al.
Published: (2026)

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning
by: Wei, Chu-Yuan, et al.
Published: (2025)

All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)
by: Sun, Xiangguo, et al.
Published: (2024)

Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
by: Ding, Pengfei, et al.
Published: (2024)

A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
by: Chanda, Dibaloke, et al.
Published: (2023)

Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)

Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
by: Ni, Hang, et al.
Published: (2025)

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning
by: Guo, Zhuoning, et al.
Published: (2024)

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments
by: Sun, Pengcheng, et al.
Published: (2025)

One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
by: Gao, Mengzhou, et al.
Published: (2026)

Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024)

Projected Task-Specific Layers for Multi-Task Reinforcement Learning
by: Roberts, Josselin Somerville, et al.
Published: (2023)

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
by: Yu, Xi, et al.
Published: (2025)

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
by: Kim, Jongwoo, et al.
Published: (2024)

Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)

FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)

HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
by: Zhang, Yue, et al.
Published: (2024)

Collaborative Management for Chronic Diseases and Depression: A Double Heterogeneity-based Multi-Task Learning Method
by: Chai, Yidong, et al.
Published: (2025)

Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts
by: Zhou, Wei, et al.
Published: (2026)

HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
by: Sang, Shilong, et al.
Published: (2025)

Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
by: Wang, Zhili, et al.
Published: (2023)

Dual-Balancing for Multi-Task Learning
by: Lin, Baijiong, et al.
Published: (2023)

ToPT: Task-Oriented Prompt Tuning for Urban Region Representation Learning
by: Guo, Zitao, et al.
Published: (2026)

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
by: Lv, Rui, et al.
Published: (2025)

HGEN: Heterogeneous Graph Ensemble Networks
by: Shen, Jiajun, et al.
Published: (2025)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
by: Fu, Xingbo, et al.
Published: (2025)

Scale-Adaptive Power Flow Analysis with Local Topology Slicing and Multi-Task Graph Learning
by: Li, Yongzhe, et al.
Published: (2026)

Prompt-Driven Continual Graph Learning
by: Wang, Qi, et al.
Published: (2025)

Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)

Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs
by: Yu, Jiaming, et al.
Published: (2024)

On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning
by: Mohammadigohari, Mahdi, et al.
Published: (2025)

Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
by: Chen, Qin, et al.
Published: (2025)

Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning
by: Mohammadigohari, Mahdi, et al.
Published: (2025)