{"total":58,"rows":[{"id":"2501.00309","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","created":"2024-12-31","cited_by_count":172,"area":"rag"},{"id":"2505.12514","title":"Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought","created":"2025-05-18","cited_by_count":77,"area":"lr"},{"id":"2405.08011","title":"A Survey of Large Language Models for Graphs","created":"2024-05-10","cited_by_count":72,"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":"2406.15992","title":"Can LLM Graph Reasoning Generalize beyond Pattern Memorization?","created":"2024-06-23","cited_by_count":47,"area":"lr"},{"id":"2405.19119","title":"Can Graph Learning Improve Planning in LLM-based Agents?","created":"2024-05-29","cited_by_count":43,"area":"agents"},{"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":"2506.18019","title":"Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities","created":"2025-06-22","cited_by_count":23,"area":"agents"},{"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":"2505.13479","title":"RTL++: Graph-enhanced LLM for RTL Code Generation","created":"2025-05-11","cited_by_count":18,"area":null},{"id":"2406.16605","title":"CLEAR: Can Language Models Really Understand Causal Graphs?","created":"2024-06-24","cited_by_count":14,"area":"lr"},{"id":"2410.13854","title":"Can MLLMs Understand the Deep Implication Behind Chinese Images?","created":"2024-10-17","cited_by_count":14,"area":"mllm"},{"id":"2505.18499","title":"G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning","created":"2025-05-24","cited_by_count":14,"area":"lr"},{"id":"2407.02936","title":"GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models","created":"2024-07-03","cited_by_count":13,"area":"lr"},{"id":"2410.18032","title":"GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration","created":"2024-10-23","cited_by_count":12,"area":"agents"},{"id":"2503.00912","title":"HiBench: Benchmarking LLMs Capability on Hierarchical Structure Reasoning","created":"2025-03-02","cited_by_count":12,"area":"lr"},{"id":"2504.09848","title":"A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science","created":"2025-04-14","cited_by_count":12,"area":"wm"},{"id":"2410.10083","title":"Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?","created":"2024-10-14","cited_by_count":11,"area":null},{"id":"2410.19084","title":"GCoder: Improving Large Language Model for Generalized Graph Problem Solving","created":"2024-10-24","cited_by_count":11,"area":"lr"},{"id":"2408.09529","title":"Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path","created":"2024-08-18","cited_by_count":10,"area":"lr"},{"id":"2503.00845","title":"Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners","created":"2025-03-02","cited_by_count":10,"area":"lr"},{"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":"2502.11607","title":"GraphThought: Graph Combinatorial Optimization with Thought Generation","created":"2025-02-17","cited_by_count":9,"area":"lr"},{"id":"2508.12379","title":"GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding","created":"2025-08-17","cited_by_count":9,"area":"agents"},{"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":"2509.24260","title":"Rethinking and Benchmarking Large Language Models for Graph Reasoning","created":"2025-09-29","cited_by_count":6,"area":"lr"},{"id":"2511.10234","title":"Lost in Serialization: Invariance and Generalization of LLM Graph Reasoners","created":"2025-11-13","cited_by_count":6,"area":"lr"},{"id":"2408.05457","title":"Investigating Instruction Tuning Large Language Models on Graphs","created":"2024-08-10","cited_by_count":5,"area":null},{"id":"2409.20053","title":"GUNDAM: Aligning Large Language Models with Graph Understanding","created":"2024-09-30","cited_by_count":5,"area":"alignment"},{"id":"2410.19494","title":"Graph Linearization Methods for Reasoning on Graphs with Large Language Models","created":"2024-10-25","cited_by_count":5,"area":"lr"},{"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":"2510.23629","title":"Chain of Execution Supervision Promotes General Reasoning in Large Language Models","created":"2025-10-24","cited_by_count":4,"area":"lr"},{"id":"2603.06620","title":"GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning","created":"2026-02-20","cited_by_count":4,"area":"lr"},{"id":"2605.10366","title":"EGL-SCA: Structural Credit Assignment for Co-Evolving Instructions and Tools in Graph Reasoning Agents","created":"2026-05-11","cited_by_count":4,"area":null},{"id":"2410.22372","title":"A Hierarchical Language Model For Interpretable Graph Reasoning","created":"2024-10-29","cited_by_count":3,"area":"lr"},{"id":"2503.10542","title":"Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2505.05583","title":"KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification","created":"2025-05-08","cited_by_count":3,"area":null},{"id":"2602.06319","title":"Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems","created":"2026-02-06","cited_by_count":3,"area":"lr"},{"id":"2505.03678","title":"Graph Drawing for LLMs: An Empirical Evaluation","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2510.16769","title":"See or Say Graphs: Agent-Driven Scalable Graph Structure Understanding with Vision-Language Models","created":"2025-10-19","cited_by_count":2,"area":"mllm"},{"id":"2602.00029","title":"Construct, Align, and Reason: Large Ontology Models for Enterprise Knowledge Management","created":"2026-01-18","cited_by_count":2,"area":null},{"id":"2603.01410","title":"GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning","created":"2026-03-02","cited_by_count":2,"area":"lr"},{"id":"2507.17168","title":"Improving LLMs' Generalized Reasoning Abilities by Graph Problems","created":"2025-07-23","cited_by_count":1,"area":"lr"},{"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":"2512.01113","title":"Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning","created":"2025-11-30","cited_by_count":1,"area":"lr"},{"id":"2605.24867","title":"Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning","created":"2026-05-24","cited_by_count":1,"area":"lr"},{"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":"2602.01644","title":"From Perception to Action: Spatial AI Agents and World Models","created":"2026-02-02","cited_by_count":0,"area":"wm"},{"id":"2606.06865","title":"Are Large Language Models Suitable for Graph Computation? Progress and Prospects","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2606.11562","title":"GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2606.16328","title":"AdaSTORM: Scaling LLM Reasoning on Dynamic Graphs via Adaptive Spatio-Temporal Multi-Agent Collaboration","created":"2026-06-15","cited_by_count":0,"area":"lr"},{"id":"2608.04434","title":"OmniRouting: A Semantic-Coupled Multimodal Benchmark for Constraint-Aware Spatial Reasoning in PCB Routing","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.18242","title":"ClosureBench: A Constructive Benchmark for Compositional Graph Reasoning","created":"2026-08-18","cited_by_count":0,"area":"lr"},{"id":"2608.27142","title":"GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL","created":"2026-08-27","cited_by_count":0,"area":"lr"},{"id":"2609.03816","title":"When Vision Meets Graphs: A Survey on Graph Reasoning and Learning","created":"2026-09-03","cited_by_count":0,"area":"lr"},{"id":"2609.12265","title":"GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs","created":"2026-09-10","cited_by_count":0,"area":"lr"},{"id":"2609.38798","title":"GraphCert: Bootstrap Agentic Graph Reasoning with Certified Evidence Rubrics","created":"2026-09-30","cited_by_count":0,"area":"lr"}],"next_cursor":null}