A collection of paper related to Large Language Models For Genral Graph Learning.
- (NeurIPS 2023) Can Language Models Solve Graph Problems in Natural Language?[paper] [code]
- (ICLR'24) Talk like a Graph: Encoding Graphs for Large Language Models [paper]
- (arXiv 2023.04) Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT [paper] [code]
- (arXiv 2023.05) GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking[paper]
- (arXiv 2023.08) Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis.[paper]
- (arXiv 2023.09) Can LLMs Effectively Leverage Structural Information for Graph Learning: When and Why [paper] [code]
- (arXiv 2023.10) GraphText: Graph Reasoning in Text Space [paper]
- (arXiv 2023.12) NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes[paper]
- (arXiv 2023.09) Spatio-Temporal Graph Learning with Large Language Model [paper]
- (arXiv 2023.09) Simple Yet Effective Spatio-Temporal Prompt Learning [paper]
- (arXiv 2023.10) LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? [paper]
- (arXiv 2024.01) Spatial-Temporal Large Language Model for Traffic Prediction [paper]
- (ICLR'24) Explanations as Features: LLM-Based Features for Text-Attributed Graphs [paper][code]
- (ICLR'24) Label-free Node Classification on Graphs with Large Language Models (LLMS) [paper]
- (ICLR'24) One for All: Towards Training One Graph Model for All Classification Tasks [paper][code]
- (arXiv 2023.07) Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs [paper] [code] [zhihu]
- (arXiv 2023.09) LLM4GCL: Can Large Language Model Empower Graph Contrastive Learning? [paper]
- (arXiv 2023.10) Empower Text-Attributed Graphs Learning with Large Language Models (LLMs) [paper]
- (arXiv 2023.11) Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs [paper]
- (arXiv 2024.02) Distilling Large Language Models for Text-Attributed Graph Learning [paper]
- (arXiv 2024.02) Large Language Model Meets Graph Neural Network in Knowledge Distillation [paper]
- (arXiv 2024.02) Similarity-based Neighbor Selection for Graph LLMs [paper] [code]
- (arXiv 2024.02) Distilling Large Language Models for Text-Attributed Graph Learning [paper]
- (arXiv 2024.02) GraphEdit: Large Language Models for Graph Structure Learning [paper][code]
- (arXiv 2023.08) Natural Language is All a Graph Needs [paper][code]
- (arXiv 2023.10) GraphGPT: Graph Instruction Tuning for Large Language Models [paper][code][blog in Chinese]
- (arXiv 2023.10) GraphLLM: Boosting Graph Reasoning Ability of Large Language Model [paper][code]
- (arXiv 2023.10) Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs [paper]
- (arXiv 2024.01) Efficient Tuning and Inference for Large Language Models on Textual Graphs [paper][code]
- (arXiv 2024.02) InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment [paper][code]
- (Nature Machine Intelligence 2023) Multimodal learning with graphs [paper]
- (arXiv 2023.10) Multimodal Graph Learning for Generative Tasks [paper][code]
- (arXiv 2023.11) Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models [paper]
- (arXiv 2023.12) When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning[paper]
- (arXiv 2024.02) Rendering Graphs for Graph Reasoning in Multimodal Large Language Models [paper]
- (WWW 2024) Can GNN be Good Adapter for LLMs? [paper]
- (arXiv 2023.09) GraphAgent: Exploiting Large Language Models for Interpretable Learning on Text-attributed Graphs [paper]
- (arXiv 2023.09) Unleashing the Power of Graph Learning through LLM-based Autonomous Agents [paper]
- (arXiv 2023.10) Graph Agent: Explicit Reasoning Agent for Graphs [paper]
- (arXiv 2024.02) Let Your Graph Do the Talking: Encoding Structured Data for LLMs [paper]
- (IEEE Intelligent Systems 2023) Integrating Graphs with Large Language Models: Methods and Prospects [paper]
- (arXiv 2023.08) Graph Meets LLMs: Towards Large Graph Models [paper]
- (arXiv 2023.10) Towards Graph Foundation Models: A Survey and Beyond [paper]
- (arXiv 2023.11) A Survey of Graph Meets Large Language Model: Progress and Future Directions [paper][code]
- (arXiv 2023.12) Large Language Models on Graphs: A Comprehensive Survey [paper][code]
- (arXiv 2024.02) Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models [paper]
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