{"total":78,"rows":[{"id":"2312.02783","title":"Large Language Models on Graphs: A Comprehensive Survey","created":"2023-12-05","cited_by_count":192,"area":null},{"id":"2402.02216","title":"Position: Graph Foundation Models are Already Here","created":"2024-02-03","cited_by_count":86,"area":null},{"id":"2311.12399","title":"A Survey of Graph Meets Large Language Model: Progress and Future Directions","created":"2023-11-21","cited_by_count":85,"area":null},{"id":"2402.11235","title":"ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs","created":"2024-02-17","cited_by_count":85,"area":null},{"id":"2411.06070","title":"GFT: Graph Foundation Model with Transferable Tree Vocabulary","created":"2024-11-09","cited_by_count":85,"area":null},{"id":"2310.04668","title":"Label-free Node Classification on Graphs with Large Language Models (LLMS)","created":"2023-10-07","cited_by_count":72,"area":null},{"id":"2405.08011","title":"A Survey of Large Language Models for Graphs","created":"2024-05-10","cited_by_count":72,"area":null},{"id":"2410.10329","title":"GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs","created":"2024-10-14","cited_by_count":58,"area":null},{"id":"2505.05568","title":"Griffin: Towards a Graph-Centric Relational Database Foundation Model","created":"2025-05-08","cited_by_count":47,"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":"2405.20445","title":"Fully-inductive Node Classification on Arbitrary Graphs","created":"2024-05-30","cited_by_count":39,"area":null},{"id":"2407.07457","title":"GLBench: A Comprehensive Benchmark for Graph with Large Language Models","created":"2024-07-10","cited_by_count":36,"area":null},{"id":"2404.14928","title":"Graph Machine Learning in the Era of Large Language Models (LLMs)","created":"2024-04-23","cited_by_count":33,"area":null},{"id":"2408.16629","title":"LLMs generate structurally realistic social networks but overestimate political homophily","created":"2024-08-29","cited_by_count":33,"area":null},{"id":"2410.05298","title":"How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension","created":"2024-10-04","cited_by_count":30,"area":null},{"id":"2406.12072","title":"DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs","created":"2024-06-17","cited_by_count":27,"area":null},{"id":"2405.16806","title":"Entity Alignment with Noisy Annotations from Large Language Models","created":"2024-05-27","cited_by_count":22,"area":null},{"id":"2503.03313","title":"LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models","created":"2025-03-05","cited_by_count":22,"area":null},{"id":"2403.07920","title":"ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training","created":"2024-02-28","cited_by_count":21,"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":"2502.00829","title":"When Do LLMs Help With Node Classification? A Comprehensive Analysis","created":"2025-02-02","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":"2402.05952","title":"Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques","created":"2024-02-04","cited_by_count":16,"area":null},{"id":"2402.11518","title":"Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network","created":"2024-02-18","cited_by_count":16,"area":null},{"id":"2407.01214","title":"Revisiting Random Walks for Learning on Graphs","created":"2024-07-01","cited_by_count":13,"area":null},{"id":"2502.18771","title":"Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation","created":"2025-02-26","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":"2405.16435","title":"Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning","created":"2024-05-26","cited_by_count":10,"area":null},{"id":"2412.12456","title":"Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks","created":"2024-12-17","cited_by_count":10,"area":null},{"id":"2502.21290","title":"Contextualizing biological perturbation experiments through language","created":"2025-02-28","cited_by_count":10,"area":null},{"id":"2512.08798","title":"Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?","created":"2025-12-09","cited_by_count":10,"area":null},{"id":"2604.19028","title":"Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors","created":"2026-04-21","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":"2405.13902","title":"LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework","created":"2024-05-22","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":"2503.09363","title":"Towards Graph Foundation Models: A Transferability Perspective","created":"2025-03-12","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":"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":"2402.02287","title":"Future Directions in the Theory of Graph Machine Learning","created":"2024-02-03","cited_by_count":6,"area":null},{"id":"2510.21131","title":"Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications","created":"2025-10-24","cited_by_count":6,"area":null},{"id":"2512.21106","title":"Semantic Refinement with LLMs for Graph Representations","created":"2025-12-24","cited_by_count":6,"area":null},{"id":"2406.13235","title":"Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning","created":"2024-06-19","cited_by_count":5,"area":null},{"id":"2408.05457","title":"Investigating Instruction Tuning Large Language Models on Graphs","created":"2024-08-10","cited_by_count":5,"area":null},{"id":"2503.03135","title":"Bridging Molecular Graphs and Large Language Models","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2511.00457","title":"GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining","created":"2025-11-01","cited_by_count":5,"area":null},{"id":"2410.02296","title":"How to Make LMs Strong Node Classifiers?","created":"2024-10-03","cited_by_count":4,"area":null},{"id":"2507.19526","title":"Quantizing Text-attributed Graphs for Semantic-Structural Integration","created":"2025-07-20","cited_by_count":4,"area":null},{"id":"2405.18581","title":"Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2410.12096","title":"Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning","created":"2024-10-15","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":"2508.00507","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","created":"2025-08-01","cited_by_count":3,"area":null},{"id":"2601.14598","title":"HELIOS: Hierarchical Graph Abstraction for Structure-Aware LLM Decompilation","created":"2026-01-21","cited_by_count":3,"area":null},{"id":"2605.04834","title":"Bridging Input Feature Spaces Towards Graph Foundation Models","created":"2026-05-06","cited_by_count":3,"area":null},{"id":"2405.06719","title":"Enhancing Traffic Prediction with Textual Data Using Large Language Models","created":"2024-05-10","cited_by_count":2,"area":null},{"id":"2503.23078","title":"EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems","created":"2025-03-29","cited_by_count":2,"area":null},{"id":"2505.19762","title":"Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2506.14098","title":"Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks","created":"2025-06-17","cited_by_count":2,"area":null},{"id":"2511.17923","title":"Towards Efficient LLM-aware Heterogeneous Graph Learning","created":"2025-11-22","cited_by_count":2,"area":null},{"id":"2512.07666","title":"Bridging Code Graphs and Large Language Models for Better Code Understanding","created":"2025-12-08","cited_by_count":2,"area":null},{"id":"2602.01771","title":"<SOG_k>: One LLM Token for Explicit Graph Structural Understanding","created":"2026-02-02","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":"2402.11641","title":"Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models","created":"2024-02-18","cited_by_count":1,"area":null},{"id":"2505.12027","title":"Relation-Aware Graph Foundation Model","created":"2025-05-17","cited_by_count":1,"area":null},{"id":"2508.04594","title":"GraphProp: Training the Graph Foundation Models using Graph Properties","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2510.12094","title":"H4G: Unlocking Faithful Inference for Zero-Shot Graph Learning in Hyperbolic Space","created":"2025-10-14","cited_by_count":1,"area":null},{"id":"2602.10386","title":"Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2603.20293","title":"LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs","created":"2026-03-19","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":"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":"2507.20000","title":"Matching Game Preferences Through Dialogical Large Language Models: A Perspective","created":"2025-07-26","cited_by_count":0,"area":null},{"id":"2509.22251","title":"Beyond Textual Context: Structural Graph Encoding with Adaptive Space Alignment to alleviate the hallucination of LLMs","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.12085","title":"GraphShaper: Geometry-aware Alignment for Improving Transfer Learning in Text-Attributed Graphs","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2511.21416","title":"Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2605.27204","title":"GraphReview: Scientific Paper Evaluation via LLM-based Graph Evidence Expansion","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2607.19108","title":"OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2608.19529","title":"When Machines Speak: A Unified Generative Framework for Integrating Machine-Native Symbols into Pretrained Large Language Models","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2609.31881","title":"TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.33314","title":"ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}