{"total":51,"rows":[{"id":"2405.08011","title":"A Survey of Large Language Models for Graphs","created":"2024-05-10","cited_by_count":72,"area":null},{"id":"2408.14512","title":"LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings","created":"2024-08-25","cited_by_count":61,"area":null},{"id":"2407.09709","title":"GOFA: A Generative One-For-All Model for Joint Graph Language Modeling","created":"2024-07-12","cited_by_count":57,"area":null},{"id":"2406.10727","title":"Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights","created":"2024-06-15","cited_by_count":44,"area":null},{"id":"2408.08685","title":"Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?","created":"2024-08-16","cited_by_count":23,"area":null},{"id":"2501.15755","title":"GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design","created":"2025-01-27","cited_by_count":21,"area":null},{"id":"2404.14809","title":"A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications","created":"2024-04-23","cited_by_count":17,"area":null},{"id":"2409.19667","title":"Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models","created":"2024-09-29","cited_by_count":17,"area":null},{"id":"2510.16990","title":"Graph4MM: Weaving Multimodal Learning with Structural Information","created":"2025-10-19","cited_by_count":17,"area":null},{"id":"2601.22384","title":"Graph is a Substrate Across Data Modalities","created":"2026-01-29","cited_by_count":14,"area":null},{"id":"2501.01124","title":"Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning","created":"2025-01-02","cited_by_count":12,"area":null},{"id":"2506.02568","title":"MLaGA: Multimodal Large Language and Graph Assistant","created":"2025-06-03","cited_by_count":12,"area":null},{"id":"2408.14134","title":"Exploring the Potential of Large Language Models for Heterophilic Graphs","created":"2024-08-26","cited_by_count":10,"area":null},{"id":"2403.16137","title":"A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective","created":"2024-03-24","cited_by_count":9,"area":null},{"id":"2406.14683","title":"TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models","created":"2024-06-20","cited_by_count":9,"area":null},{"id":"2410.01985","title":"Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks","created":"2024-10-02","cited_by_count":8,"area":null},{"id":"2502.11836","title":"Model Generalization on Text Attribute Graphs: Principles with Large Language Models","created":"2025-02-17","cited_by_count":8,"area":null},{"id":"2406.13250","title":"LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling","created":"2024-06-19","cited_by_count":7,"area":null},{"id":"2504.10917","title":"Towards A Universal Graph Structural Encoder","created":"2025-04-15","cited_by_count":7,"area":null},{"id":"2510.16885","title":"UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains","created":"2025-10-19","cited_by_count":7,"area":null},{"id":"2603.01385","title":"Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning","created":"2026-03-02","cited_by_count":7,"area":null},{"id":"2503.03135","title":"Bridging Molecular Graphs and Large Language Models","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2503.04822","title":"HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2506.11844","title":"TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks","created":"2025-06-13","cited_by_count":5,"area":null},{"id":"2410.10743","title":"From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models","created":"2024-10-14","cited_by_count":4,"area":null},{"id":"2412.19211","title":"Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining","created":"2024-12-26","cited_by_count":3,"area":null},{"id":"2503.10722","title":"TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2505.17599","title":"Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2408.05456","title":"Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation","created":"2024-08-10","cited_by_count":2,"area":null},{"id":"2503.11086","title":"A Survey of Cross-domain Graph Learning: Progress and Future Directions","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2510.04567","title":"GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning","created":"2025-10-06","cited_by_count":2,"area":null},{"id":"2605.03514","title":"Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding","created":"2026-05-05","cited_by_count":2,"area":null},{"id":"2503.18403","title":"Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning","created":"2025-03-24","cited_by_count":1,"area":null},{"id":"2505.08168","title":"Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph","created":"2025-05-13","cited_by_count":1,"area":null},{"id":"2508.15392","title":"CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials","created":"2025-08-21","cited_by_count":1,"area":null},{"id":"2510.09735","title":"InterCorpRel-LLM: Enhancing Financial Relational Understanding with Graph-Language Models","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2603.02938","title":"Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2603.13799","title":"Node Role-Guided LLMs for Dynamic Graph Clustering","created":"2026-03-14","cited_by_count":1,"area":null},{"id":"2603.21601","title":"Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2605.28524","title":"Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection","created":"2026-05-27","cited_by_count":1,"area":null},{"id":"2606.10461","title":"ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2606.22429","title":"Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation","created":"2026-06-21","cited_by_count":1,"area":null},{"id":"2606.22462","title":"Adaptive Recurrent Message Passing for Test Time Computing on Graphs","created":"2026-06-21","cited_by_count":1,"area":null},{"id":"2505.15845","title":"Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2506.14220","title":"Enhancing Spectral Graph Neural Networks with LLM-Predicted Homophily","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2506.21559","title":"GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2507.20000","title":"Matching Game Preferences Through Dialogical Large Language Models: A Perspective","created":"2025-07-26","cited_by_count":0,"area":null},{"id":"2601.22657","title":"NAG: A Unified Native Architecture for Encoder-free Text-Graph Modeling in Language Models","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2605.12197","title":"A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.29773","title":"GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.10159","title":"UNIT: Unleash Large Language Models Potential for Graph Continual Learning","created":"2026-07-11","cited_by_count":0,"area":null}],"next_cursor":null}