{"total":160,"rows":[{"id":"2402.01145","title":"ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution","created":"2024-02-02","cited_by_count":276,"area":null},{"id":"2307.03393","title":"Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs","created":"2023-07-07","cited_by_count":274,"area":null},{"id":"2310.00149","title":"One for All: Towards Training One Graph Model for All Classification Tasks","created":"2023-09-29","cited_by_count":243,"area":null},{"id":"2308.07134","title":"Language is All a Graph Needs","created":"2023-08-14","cited_by_count":220,"area":null},{"id":"2312.02783","title":"Large Language Models on Graphs: A Comprehensive Survey","created":"2023-12-05","cited_by_count":192,"area":null},{"id":"2310.04560","title":"Talk like a Graph: Encoding Graphs for Large Language Models","created":"2023-10-06","cited_by_count":176,"area":null},{"id":"2305.19523","title":"Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning","created":"2023-05-31","cited_by_count":133,"area":null},{"id":"2402.05862","title":"Let Your Graph Do the Talking: Encoding Structured Data for LLMs","created":"2024-02-08","cited_by_count":118,"area":null},{"id":"2310.11829","title":"Graph Foundation Models: Concepts, Opportunities and Challenges","created":"2023-10-18","cited_by_count":103,"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":"2402.13630","title":"UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs","created":"2024-02-21","cited_by_count":66,"area":null},{"id":"2402.07197","title":"GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks","created":"2024-02-11","cited_by_count":63,"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":"2311.15249","title":"Algorithm Evolution Using Large Language Model","created":"2023-11-26","cited_by_count":53,"area":null},{"id":"2310.00935","title":"Resolving Knowledge Conflicts in Large Language Models","created":"2023-10-02","cited_by_count":50,"area":null},{"id":"2407.00379","title":"GraphArena: Evaluating and Exploring Large Language Models on Graph Computation","created":"2024-06-29","cited_by_count":49,"area":null},{"id":"2310.06671","title":"Making Large Language Models Perform Better in Knowledge Graph Completion","created":"2023-10-10","cited_by_count":48,"area":null},{"id":"2307.09688","title":"Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation","created":"2023-07-19","cited_by_count":42,"area":null},{"id":"2310.17110","title":"LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?","created":"2023-10-26","cited_by_count":40,"area":null},{"id":"2310.18152","title":"Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs","created":"2023-10-27","cited_by_count":36,"area":null},{"id":"2406.06467","title":"How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad","created":"2024-06-10","cited_by_count":36,"area":null},{"id":"2308.11224","title":"Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis","created":"2023-08-22","cited_by_count":35,"area":null},{"id":"2406.10450","title":"TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation","created":"2024-06-15","cited_by_count":35,"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":"2412.16441","title":"Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees","created":"2024-12-21","cited_by_count":32,"area":null},{"id":"2309.16595","title":"Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?","created":"2023-09-28","cited_by_count":31,"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":"2501.05414","title":"LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation","created":"2025-01-09","cited_by_count":29,"area":null},{"id":"2509.16865","title":"Large Language Models as End-to-end Combinatorial Optimization Solvers","created":"2025-09-21","cited_by_count":28,"area":null},{"id":"2410.11163","title":"Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence","created":"2024-10-15","cited_by_count":27,"area":null},{"id":"2402.00371","title":"What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection","created":"2024-02-01","cited_by_count":25,"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":"2502.04510","title":"Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems","created":"2025-02-06","cited_by_count":23,"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":"2502.00829","title":"When Do LLMs Help With Node Classification? A Comprehensive Analysis","created":"2025-02-02","cited_by_count":21,"area":null},{"id":"2308.14522","title":"Graph Meets LLMs: Towards Large Graph Models","created":"2023-08-28","cited_by_count":20,"area":null},{"id":"2403.04780","title":"Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining","created":"2024-03-02","cited_by_count":20,"area":null},{"id":"2412.04703","title":"Transformers Struggle to Learn to Search","created":"2024-12-06","cited_by_count":19,"area":null},{"id":"2312.11518","title":"User Modeling in the Era of Large Language Models: Current Research and Future Directions","created":"2023-12-11","cited_by_count":18,"area":null},{"id":"2405.09220","title":"ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models","created":"2024-05-15","cited_by_count":18,"area":null},{"id":"2409.03258","title":"GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding","created":"2024-09-05","cited_by_count":18,"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":"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":"2311.09862","title":"Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models","created":"2023-11-16","cited_by_count":15,"area":null},{"id":"2403.14358","title":"Exploring the Potential of Large Language Models in Graph Generation","created":"2024-03-21","cited_by_count":15,"area":null},{"id":"2601.22384","title":"Graph is a Substrate Across Data Modalities","created":"2026-01-29","cited_by_count":14,"area":null},{"id":"2407.01214","title":"Revisiting Random Walks for Learning on Graphs","created":"2024-07-01","cited_by_count":13,"area":null},{"id":"2410.14961","title":"LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model","created":"2024-10-19","cited_by_count":13,"area":null},{"id":"2511.05592","title":"GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning","created":"2025-11-05","cited_by_count":13,"area":null},{"id":"2402.06330","title":"Continual Learning on Graphs: A Survey","created":"2024-02-09","cited_by_count":12,"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":"2407.12068","title":"Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness","created":"2024-07-16","cited_by_count":11,"area":null},{"id":"2410.10083","title":"Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?","created":"2024-10-14","cited_by_count":11,"area":null},{"id":"2509.08269","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","created":"2025-09-10","cited_by_count":11,"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":"2510.09854","title":"NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering","created":"2025-10-10","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":"2408.12133","title":"Self-Supervised Representation Learning for Geospatial Objects: A Survey","created":"2024-08-22","cited_by_count":9,"area":null},{"id":"2402.13405","title":"A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion","created":"2024-02-20","cited_by_count":8,"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":"2405.19581","title":"Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases","created":"2024-05-30","cited_by_count":8,"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":"2510.25761","title":"DiagramEval: Evaluating LLM-Generated Diagrams via Graphs","created":"2025-10-29","cited_by_count":8,"area":null},{"id":"2307.16806","title":"Testing the Depth of ChatGPT's Comprehension via Cross-Modal Tasks Based on ASCII-Art: GPT3.5's Abilities in Regard to Recognizing and Generating ASCII-Art Are Not Totally Lacking","created":"2023-07-28","cited_by_count":7,"area":null},{"id":"2501.15282","title":"AutoG: Towards automatic graph construction from tabular data","created":"2025-01-25","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":"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":"2601.18106","title":"GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health","created":"2026-01-26","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":"2508.07117","title":"From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context","created":"2025-08-09","cited_by_count":6,"area":null},{"id":"2509.18180","title":"Large Language Models in Operations Research: Methods, Applications, and Challenges","created":"2025-09-18","cited_by_count":6,"area":null},{"id":"2509.23186","title":"Understanding and Enhancing the Planning Capability of Language Models via Multi-Token Prediction","created":"2025-09-27","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":"2511.00847","title":"Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers","created":"2025-11-02","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":"2405.16800","title":"TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations","created":"2024-05-27","cited_by_count":5,"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":"2503.04822","title":"HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2509.18487","title":"Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference","created":"2025-09-23","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":"2605.08689","title":"Structure-Centric Graph Foundation Model via Geometric Bases","created":"2026-05-09","cited_by_count":5,"area":null},{"id":"2502.10522","title":"GraphiT: Efficient Node Classification on Text-Attributed Graphs with Prompt Optimized LLMs","created":"2025-02-14","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":"2509.22613","title":"Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective","created":"2025-09-26","cited_by_count":4,"area":null},{"id":"2512.14391","title":"RePo: Language Models with Context Re-Positioning","created":"2025-12-16","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":"2406.11884","title":"Hierarchical Compression of Text-Rich Graphs via Large Language Models","created":"2024-06-13","cited_by_count":3,"area":null},{"id":"2407.09311","title":"Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2501.15081","title":"Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?","created":"2025-01-25","cited_by_count":3,"area":null},{"id":"2501.18158","title":"Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study","created":"2025-01-30","cited_by_count":3,"area":null}],"next_cursor":"100"}