{"total":72,"rows":[{"id":"2402.07630","title":"G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering","created":"2024-02-12","cited_by_count":223,"area":"rag"},{"id":"2312.02783","title":"Large Language Models on Graphs: A Comprehensive Survey","created":"2023-12-05","cited_by_count":192,"area":null},{"id":"2402.08170","title":"LLaGA: Large Language and Graph Assistant","created":"2024-02-13","cited_by_count":181,"area":null},{"id":"2501.00309","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","created":"2024-12-31","cited_by_count":172,"area":"rag"},{"id":"2310.11829","title":"Graph Foundation Models: Concepts, Opportunities and Challenges","created":"2023-10-18","cited_by_count":103,"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":"2405.16506","title":"GRAG: Graph Retrieval-Augmented Generation","created":"2024-05-26","cited_by_count":78,"area":"rag"},{"id":"2405.08011","title":"A Survey of Large Language Models for Graphs","created":"2024-05-10","cited_by_count":72,"area":null},{"id":"2410.14716","title":"A Systematic Survey on Large Language Models for Algorithm Design","created":"2024-10-11","cited_by_count":69,"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":"2401.15569","title":"Efficient Tuning and Inference for Large Language Models on Textual Graphs","created":"2024-01-28","cited_by_count":54,"area":"inference"},{"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":"2406.10727","title":"Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights","created":"2024-06-15","cited_by_count":44,"area":null},{"id":"2412.17767","title":"ResearchTown: Simulator of Human Research Community","created":"2024-12-23","cited_by_count":37,"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":"2402.16029","title":"GraphWiz: An Instruction-Following Language Model for Graph Problems","created":"2024-02-25","cited_by_count":32,"area":"lr"},{"id":"2406.17633","title":"Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels","created":"2024-06-25","cited_by_count":25,"area":"distill"},{"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":"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":"2410.07074","title":"Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning","created":"2024-10-09","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":"2402.12022","title":"Distilling Large Language Models for Text-Attributed Graph Learning","created":"2024-02-19","cited_by_count":20,"area":"distill"},{"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":"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":"2406.03464","title":"Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach","created":"2024-06-05","cited_by_count":17,"area":"moe"},{"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":"2406.12608","title":"Bridging Local Details and Global Context in Text-Attributed Graphs","created":"2024-06-18","cited_by_count":15,"area":null},{"id":"2407.04693","title":"ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models","created":"2024-07-05","cited_by_count":14,"area":null},{"id":"2503.23167","title":"Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks","created":"2025-03-29","cited_by_count":14,"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":"2410.19084","title":"GCoder: Improving Large Language Model for Generalized Graph Problem Solving","created":"2024-10-24","cited_by_count":11,"area":"lr"},{"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":"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":"2310.16421","title":"Graph Agent: Explicit Reasoning Agent for Graphs","created":"2023-10-25","cited_by_count":8,"area":"lr"},{"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":"2407.20157","title":"rLLM: Relational Table Learning with LLMs","created":"2024-07-29","cited_by_count":7,"area":null},{"id":"2410.11370","title":"Enhance Graph Alignment for Large Language Models","created":"2024-10-15","cited_by_count":7,"area":"alignment"},{"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":"2503.22097","title":"Few-Shot Graph Out-of-Distribution Detection with LLMs","created":"2025-03-28","cited_by_count":6,"area":null},{"id":"2504.02343","title":"Toward General and Robust LLM-enhanced Text-attributed Graph Learning","created":"2025-04-03","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":"2409.20053","title":"GUNDAM: Aligning Large Language Models with Graph Understanding","created":"2024-09-30","cited_by_count":5,"area":"alignment"},{"id":"2604.08553","title":"GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback","created":"2026-03-11","cited_by_count":4,"area":null},{"id":"2404.13571","title":"Test-Time Training on Graphs with Large Language Models (LLMs)","created":"2024-04-21","cited_by_count":3,"area":null},{"id":"2407.13989","title":"Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models","created":"2024-07-19","cited_by_count":3,"area":null},{"id":"2407.14996","title":"All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks","created":"2024-07-20","cited_by_count":3,"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":"2501.18158","title":"Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study","created":"2025-01-30","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":"2503.19455","title":"Data-centric Federated Graph Learning with Large Language Models","created":"2025-03-25","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":"2409.07732","title":"Large Language Models are Pattern Matchers: Editing Semi-Structured and Structured Documents with ChatGPT","created":"2024-09-12","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":"2507.14570","title":"LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges","created":"2025-07-19","cited_by_count":2,"area":null},{"id":"2510.10849","title":"Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion","created":"2025-10-12","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":"2402.11821","title":"Microstructures and Accuracy of Graph Recall by Large Language Models","created":"2024-02-19","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":"2505.13989","title":"When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2510.10116","title":"Preference-driven Knowledge Distillation for Few-shot Node Classification","created":"2025-10-11","cited_by_count":1,"area":"distill"},{"id":"2410.04251","title":"Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features","created":"2024-10-05","cited_by_count":0,"area":null},{"id":"2506.07168","title":"Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment","created":"2025-06-08","cited_by_count":0,"area":null},{"id":"2506.10014","title":"NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2512.10061","title":"Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2602.19240","title":"Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering","created":"2026-02-22","cited_by_count":0,"area":"lr"},{"id":"2604.11986","title":"Exploring Concept Subspace for Self-explainable Text-Attributed Graph Learning","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2604.17411","title":"DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2606.11583","title":"Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2606.11898","title":"GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs","created":"2026-06-10","cited_by_count":0,"area":null}],"next_cursor":null}