LLaTA: Unlocking Graph Structure Learning with Tree-Guided Large Language Models
cs.LG
Submitted: 2025-03-27
Updated: 2026-10-07
Terminology
Sources
- Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
- GraphEdit: Large Language Models for Graph Structure Learning
- Semi-Supervised Classification with Graph Convolutional Networks
- Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
- An Information-theoretic Perspective of Hierarchical Clustering
- Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
- Graph Attention Networks
- Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
- Learning on Large-scale Text-attributed Graphs via Variational Inference
- Rethinking Structure Learning For Graph Neural Networks
- A Survey on Graph Structure Learning: Progress and Opportunities
- Efficient Tuning and Inference for Large Language Models on Textual Graphs
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