:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Haoyu, Liu, Shikun, Wei, Rongzhe, Li, Pan
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2502.11836
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
por: Yin, Haoteng, et al.
Publicado: (2024)

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
por: Wang, Haoyu, et al.
Publicado: (2025)

Towards Universal Debiasing for Language Models-based Tabular Data Generation
por: Li, Tianchun, et al.
Publicado: (2025)

Distilling Large Language Models for Text-Attributed Graph Learning
por: Pan, Bo, et al.
Publicado: (2024)

Differentially Private Graph Diffusion with Applications in Personalized PageRanks
por: Wei, Rongzhe, et al.
Publicado: (2024)

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models
por: Wei, Rongzhe, et al.
Publicado: (2023)

Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings
por: Liu, Shikun, et al.
Publicado: (2025)

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
por: Lei, Runlin, et al.
Publicado: (2025)

GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
por: Li, Mufei, et al.
Publicado: (2023)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
por: Yu, Jianxiang, et al.
Publicado: (2023)

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
por: Qin, Yijian, et al.
Publicado: (2023)

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
por: Wei, Rongzhe, et al.
Publicado: (2024)

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
por: Zhao, Yusheng, et al.
Publicado: (2025)

Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
por: Kerdabadi, Mohsen Nayebi, et al.
Publicado: (2026)

Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs
por: Song, Zixing, et al.
Publicado: (2026)

MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs
por: Gu, Yupu, et al.
Publicado: (2026)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
por: Sun, Shengyin, et al.
Publicado: (2023)

GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints
por: Zhu, Andy, et al.
Publicado: (2026)

Pairwise Alignment Improves Graph Domain Adaptation
por: Liu, Shikun, et al.
Publicado: (2024)

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
por: Su, Guangxin, et al.
Publicado: (2025)

GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
por: Zhu, Yun, et al.
Publicado: (2024)

GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
por: Fang, Yi, et al.
Publicado: (2024)

RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models
por: Liu, Shikun, et al.
Publicado: (2025)

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
por: Zhang, Taiyan, et al.
Publicado: (2024)

DecepChain: Inducing Deceptive Reasoning in Large Language Models
por: Shen, Wei, et al.
Publicado: (2025)

Source Attribution for Large Language Model-Generated Data
por: Wang, Jingtan, et al.
Publicado: (2023)

Differentially Private Relational Learning with Entity-level Privacy Guarantees
por: Huang, Yinan, et al.
Publicado: (2025)

Structural Alignment Improves Graph Test-Time Adaptation
por: Hsu, Hans Hao-Hsun, et al.
Publicado: (2025)

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
por: Zhang, Tianyi, et al.
Publicado: (2023)

Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
por: Jin, Bowen, et al.
Publicado: (2023)

CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection
por: Pan, Junjun, et al.
Publicado: (2026)

The Attribution Contract: Feature Attribution for Generative Language Models
por: Nguyen, Giang
Publicado: (2026)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
por: Zhu, Xi, et al.
Publicado: (2025)

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

Attribution-Guided Continual Learning for Large Language Models
por: Liu, Yazheng, et al.
Publicado: (2026)

Label-free Node Classification on Graphs with Large Language Models (LLMS)
por: Chen, Zhikai, et al.
Publicado: (2023)

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
por: Zhang, Zheng, et al.
Publicado: (2024)

What Are Good Positional Encodings for Directed Graphs?
por: Huang, Yinan, et al.
Publicado: (2024)

UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding
por: Fang, Yi, et al.
Publicado: (2024)

C$^2$-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
por: Yu, Yue, et al.
Publicado: (2025)