TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs
cs.LG
Submitted: 2026-09-25
Updated: 2026-09-25
Code: https://github.com/zjs123/DTGB
Terminology
Sources
- Mistral 7B
- GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
- Do We Really Need Complicated Model Architectures For Temporal Networks?
- The Llama 3 Herd of Models
- GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
- Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
- LoRA: Low-Rank Adaptation of Large Language Models
- A Survey of Graph Meets Large Language Model: Progress and Future Directions
- Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
- LLM-driven Knowledge Distillation for Dynamic Text-Attributed Graphs
- Deep Semantic Graph Learning via LLM based Node Enhancement
- A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
- Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
- InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
- Inductive Representation Learning on Temporal Graphs
- Towards Better Dynamic Graph Learning: New Architecture and Unified Library
- Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models
- DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
- BERTScore: Evaluating Text Generation with BERT
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