Text-Attributed Graph Learning

Overview

Text-attributed graph learning studies networks whose nodes carry descriptions, documents, or other language, using both these attributes and links for tasks such as node classification, link prediction, anomaly detection, and temporal prediction. Common approaches encode text with pretrained language models and combine it with GNN message passing or graph transformers; newer methods use graph-aware LLM prompts and adapters, contrastive alignment, retrieval, and self-supervised or reinforcement learning. Benchmarks increasingly test few-shot and zero-shot transfer, heterophilic graphs, dynamic networks, and degraded text, edges, or labels, alongside standard citation and product graphs. A central challenge is making semantic and structural signals reinforce each other across domains without letting noisy or misleading inputs harm accuracy, efficiency, or robustness.

Latest papers

CardsList

66 papers6 papers in the last four weeks, up 50% on the four weeks before. 0.0% of all new papers.

  1. Bridging Semantics and Structure: A Theoretically Grounded Framework for Link Prediction on TAGs

    Oct 29, 2026Chen Shao, Ruirui Wang, Tobias Kafer +1Text-Attributed Graph LearningGraph Neural Networks

  2. TACO-Graph: Automated Construction of Text-Atributed Graphs

    Oct 27, 2026Amiri Hayes, Kristina WickeGraph ConstructionText-Attributed Graph Learning

  3. Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM-GNN Synergy

    Oct 17, 2026Yunhui Liu, Xudong Jin, Qizhuo Xie +5Text-Attributed Graph LearningHierarchical Representation Learning

  4. S-GAP: Stealthy Graph Attack Primitives for Graph Large Language Models

    Oct 16, 2026Wenda Li, Tongya Zheng, Shunyu Liu +8Adversarial Attacks on LLMsLLMs for Graph Learning

  5. DeKoR: Decomposed Knowledge Routing for Efficient GNN--LLM Fusion

    Oct 10, 2026Peiyuan Li, Yongqi Huang, Jitao Zhao +2Text-Attributed Graph Learning

  6. GraphMAS: A Systematic Benchmark of Multi-Agent Coordination for Graph Learning

    Sep 30, 2026Jiayi Yang, Yifang Chen, Yuanfu Sun +2Multi-Agent CoordinationText-Attributed Graph Learning

  7. TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs

    Sep 25, 2026Moran Beladev, Or Eitan, Gilad Katz +1Text-Attributed Graph LearningLLMs for Graph Learning

  8. Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning

    Sep 8, 2026Jonatan Frank, David Richerby, Ansgar ScherpTransfer LearningText-Attributed Graph Learning

  9. ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation

    Aug 30, 2026Yitong Han, Wei Gao, Yi Zhao +3User ModelingRepresentation Learning

  10. Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation

    Aug 30, 2026Yilun Liu, Boyu Luo, Yanran Tang +2LLM Reasoning with GraphsText-Attributed Graph Learning

  11. Rethinking Message Passing as Retrieval for Text-Attributed Graph Learning

    Aug 27, 2026Jintang Li, Yuhong Chen, Ruofan Wu +4Graph Neural NetworksText-Attributed Graph Learning

  12. Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?

    Aug 26, 2026Fumiaki Kimino, Ryoma SatoGraph Representation LearningText-Attributed Graph Learning

  13. Auditing Privacy Risks in LLM-Enhanced Graph Neural Networks

    Aug 26, 2026Longzhu He, Zelang Wen, Chaozhuo Li +1Privacy-Preserving MLLLMs for Graph Learning

  14. Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs

    Aug 22, 2026Hojin Kim, Sujin Yoon, Sungsu Lim +2Text-Attributed Graph LearningNode Classification

  15. Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation Models

    Aug 21, 2026Minhua Lin, Zhicheng Gao, Yilong Wang +3Adversarial AttacksGraph Foundation Models

  16. ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes

    Aug 11, 2026Ziyan Wang, Liwen Wu, Cheng Xie +3Prototype LearningText-Attributed Graph Learning

  17. Agentic Graph Token Reasoning

    Aug 1, 2026Zhuoyi Peng, Yi YangLLM Reasoning with GraphsText-Attributed Graph Learning

  18. Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection

    Jun 29, 2026Bochen Lin, Jianxiang Yu, Jiayi Wu +3Text-Attributed Graph LearningAnomaly Detection

  19. Formalizing and Mitigating Structural Distortion in LLM Attention for Graph Reasoning

    Jun 14, 2026Donald Loveland, Puja Trivedi, Ari Weinstein +2LLM Reasoning with GraphsTransformer Attention

  20. GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs

    Jun 10, 2026Hengyi Feng, Zeang Sheng, Meiyi Qiang +2Graph Representation LearningText-Attributed Graph Learning