Model Generalization on Text Attribute Graphs: Principles with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Haoyu, Liu, Shikun, Wei, Rongzhe, Li, Pan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
by: Yin, Haoteng, et al.
Published: (2024)
by: Yin, Haoteng, et al.
Published: (2024)
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024)
by: Pan, Bo, et al.
Published: (2024)
Towards Universal Debiasing for Language Models-based Tabular Data Generation
by: Li, Tianchun, et al.
Published: (2025)
by: Li, Tianchun, et al.
Published: (2025)
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
by: Wei, Rongzhe, et al.
Published: (2024)
by: Wei, Rongzhe, et al.
Published: (2024)
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)
by: Yu, Jianxiang, et al.
Published: (2023)
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
by: Lei, Runlin, et al.
Published: (2025)
by: Lei, Runlin, et al.
Published: (2025)
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models
by: Wei, Rongzhe, et al.
Published: (2023)
by: Wei, Rongzhe, et al.
Published: (2023)
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
by: Li, Mufei, et al.
Published: (2023)
by: Li, Mufei, et al.
Published: (2023)
Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings
by: Liu, Shikun, et al.
Published: (2025)
by: Liu, Shikun, et al.
Published: (2025)
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
by: Qin, Yijian, et al.
Published: (2023)
by: Qin, Yijian, et al.
Published: (2023)
Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
by: Zhao, Yusheng, et al.
Published: (2025)
by: Zhao, Yusheng, et al.
Published: (2025)
Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2026)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2026)
Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs
by: Song, Zixing, et al.
Published: (2026)
by: Song, Zixing, et al.
Published: (2026)
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
by: Wei, Rongzhe, et al.
Published: (2024)
by: Wei, Rongzhe, et al.
Published: (2024)
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
by: Sun, Shengyin, et al.
Published: (2023)
by: Sun, Shengyin, et al.
Published: (2023)
MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs
by: Gu, Yupu, et al.
Published: (2026)
by: Gu, Yupu, et al.
Published: (2026)
Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
by: Su, Guangxin, et al.
Published: (2025)
by: Su, Guangxin, et al.
Published: (2025)
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
by: Zhu, Yun, et al.
Published: (2024)
by: Zhu, Yun, et al.
Published: (2024)
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
by: Fang, Yi, et al.
Published: (2024)
by: Fang, Yi, et al.
Published: (2024)
Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
by: Zhang, Taiyan, et al.
Published: (2024)
by: Zhang, Taiyan, et al.
Published: (2024)
Pairwise Alignment Improves Graph Domain Adaptation
by: Liu, Shikun, et al.
Published: (2024)
by: Liu, Shikun, et al.
Published: (2024)
GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints
by: Zhu, Andy, et al.
Published: (2026)
by: Zhu, Andy, et al.
Published: (2026)
Source Attribution for Large Language Model-Generated Data
by: Wang, Jingtan, et al.
Published: (2023)
by: Wang, Jingtan, et al.
Published: (2023)
DecepChain: Inducing Deceptive Reasoning in Large Language Models
by: Shen, Wei, et al.
Published: (2025)
by: Shen, Wei, et al.
Published: (2025)
RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models
by: Liu, Shikun, et al.
Published: (2025)
by: Liu, Shikun, et al.
Published: (2025)
Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
by: Jin, Bowen, et al.
Published: (2023)
by: Jin, Bowen, et al.
Published: (2023)
The Attribution Contract: Feature Attribution for Generative Language Models
by: Nguyen, Giang
Published: (2026)
by: Nguyen, Giang
Published: (2026)
Attribution-Guided Continual Learning for Large Language Models
by: Liu, Yazheng, et al.
Published: (2026)
by: Liu, Yazheng, et al.
Published: (2026)
CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection
by: Pan, Junjun, et al.
Published: (2026)
by: Pan, Junjun, et al.
Published: (2026)
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
by: Zhu, Xi, et al.
Published: (2025)
by: Zhu, Xi, et al.
Published: (2025)
Structural Alignment Improves Graph Test-Time Adaptation
by: Hsu, Hans Hao-Hsun, et al.
Published: (2025)
by: Hsu, Hans Hao-Hsun, et al.
Published: (2025)
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)
by: Li, Mufei, et al.
Published: (2024)
Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation
by: Ran, Yide, et al.
Published: (2026)
by: Ran, Yide, et al.
Published: (2026)
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
by: Zhang, Zheng, et al.
Published: (2024)
by: Zhang, Zheng, et al.
Published: (2024)
Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning
by: Song, Haoran, et al.
Published: (2025)
by: Song, Haoran, et al.
Published: (2025)
Differentially Private Relational Learning with Entity-level Privacy Guarantees
by: Huang, Yinan, et al.
Published: (2025)
by: Huang, Yinan, et al.
Published: (2025)
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
by: He, Yufei, et al.
Published: (2024)
by: He, Yufei, et al.
Published: (2024)
What Are Good Positional Encodings for Directed Graphs?
by: Huang, Yinan, et al.
Published: (2024)
by: Huang, Yinan, et al.
Published: (2024)
UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding
by: Fang, Yi, et al.
Published: (2024)
by: Fang, Yi, et al.
Published: (2024)
Similar Items
-
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
by: Yin, Haoteng, et al.
Published: (2024) -
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
by: Wang, Haoyu, et al.
Published: (2025) -
Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024) -
Towards Universal Debiasing for Language Models-based Tabular Data Generation
by: Li, Tianchun, et al.
Published: (2025) -
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
by: Wei, Rongzhe, et al.
Published: (2024)