Cover Image

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Qiuyu, Zhang, Liang, Xu, Qianxiong, Long, Cheng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
by: Zhu, Qiuyu, et al.
Published: (2024)

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

Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
by: Hong, Kaifeng, et al.
Published: (2025)

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
by: He, Xiaoxin, et al.
Published: (2023)

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
by: Liu, Chenxi, et al.
Published: (2025)

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
by: Huang, YiHeng, et al.
Published: (2024)

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
by: Xu, Qianxiong, et al.
Published: (2023)

CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs
by: Wang, Feiyang, et al.
Published: (2025)

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)

NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning
by: Zhang, Xiong, et al.
Published: (2024)

Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
by: Li, Jiafan, et al.
Published: (2025)

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
by: Zou, Tianyuan, et al.
Published: (2025)

Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024)

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
by: Liu, Chenxi, et al.
Published: (2025)

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem
by: Huang, Shihong, et al.
Published: (2026)

Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
by: Zhang, Tianya
Published: (2022)

HemePLM-Diffuse: A Scalable Generative Framework for Protein-Ligand Dynamics in Large Biomolecular System
by: Thakur, Rakesh, et al.
Published: (2025)

PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddings
by: Xu, Ziyang, et al.
Published: (2023)

Representation Retrieval Learning for Heterogeneous Data Integration
by: Xu, Qi, et al.
Published: (2025)

FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
by: Yao, Yuan, et al.
Published: (2025)

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
by: Xie, Baao, et al.
Published: (2024)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
by: Liu, Chenxi, et al.
Published: (2024)

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

HierRouter: Coordinated Routing of Specialized Large Language Models via Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2025)

PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles
by: Khalil, Aws, et al.
Published: (2024)

HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning
by: Yu, Xingtong, et al.
Published: (2023)

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

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
by: Chen, Yile, et al.
Published: (2024)

Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning
by: Liu, Yunhui, et al.
Published: (2026)

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

FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation
by: Ma, Yuting, et al.
Published: (2024)

PLM-eXplain: Divide and Conquer the Protein Embedding Space
by: van Eck, Jan, et al.
Published: (2025)

MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
by: Luo, Yizhen, et al.
Published: (2024)

Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation?
by: Liang, Hao, et al.
Published: (2026)

GNNVerifier: Graph-based Verifier for LLM Task Planning
by: Hao, Yu, et al.
Published: (2026)

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
by: Zhang, Tiehua, et al.
Published: (2023)

Deep Prompt Multi-task Network for Abuse Language Detection
by: Zhu, Jian, et al.
Published: (2024)

HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network
by: Lu, Yifan, et al.
Published: (2025)

A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning
by: Du, Honglin, et al.
Published: (2026)

WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning
by: Li, Xin, et al.
Published: (2025)