| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Deep Bidirectional Language-Knowledge Graph pretraining | NeurIPS | 2022 | Knowledge Integration and Fusion | Link |
| 2 | GreaseLM: Graph REASoning Enhanced Language Models | ICLR | 2022 | Knowledge Integration and Fusion | Link |
| 3 | InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration | LLM+KG@VLDB | 2024 | Knowledge Integration and Fusion | Link |
| 4 | KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation | NAACL | 2024 | Knowledge Integration and Fusion | Link |
| 5 | KG-Adapter: Enabling Knowledge Graph Integration in Large Language Models through Parameter-Efficient Fine-Tuning | ACL Findlings | 2024 | Knowledge Integration and Fusion | Link |
| 6 | A GAIL Fine-Tuned LLM Enhanced Framework for Low-Resource Knowledge Graph Question Answering | CIKM | 2024 | Knowledge Integration and Fusion | Link |
| 7 | Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts | arXiv | 2024 | KG-Augmented Prompting | Link |
| 8 | KnowGPT: Knowledge Graph based Prompting for Large Language Models | arXiv | 2024 | KG-Augmented Prompting | Link |
| 9 | Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering | NLRSE | 2023 | KG-Augmented Prompting | Link |
| 10 | Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering | IJCKG | 2023 | KG-Augmented Prompting | Link |
| 11 | Enhancing Textbook Question Answering Task with Large Language Models and Retrieval Augmented Generation | arXiv | 2024 | Retrieval Augmented Generation | Link |
| 12 | GRAG: Graph Retrieval-Augmented Generation | arXiv | 2024 | Retrieval Augmented Generation | Link |
| 13 | KG-RAG: Bridging the Gap Between Knowledge and Creativity | arXiv | 2024 | Retrieval Augmented Generation | Link |
| 14 | Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering | SIGIR | 2024 | Retrieval Augmented Generation | Link |
| 15 | Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering | CIKM | 2024 | Retrieval Augmented Generation | Link |
| 16 | REnhancing Large Language Models with Knowledge Graphs for Robust Question Answering | ICPADS | 2024 | Retrieval Augmented Generation | Link |
| 17 | FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs | arXiv | 2025 | Retrieval Augmented Generation | Link |
| 18 | SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation | arXiv | 2025 | Retrieval Augmented Generation | Link |
| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answerings | ACL | 2022 | Offline KG Guidelines | Link |
| 2 | keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM | arXiv | 2023 | Offline KG Guidelines | Link |
| 3 | Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph | arXiv | 2024 | Offline KG Guidelines | Link |
| 4 | Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models | arXiv | 2024 | Offline KG Guidelines | Link |
| 5 | Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering | EMNLP | 2022 | Online KG Guildlines | Link |
| 6 | Knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering | NLPCC | 2022 | Online KG Guildlines | Link |
| 7 | Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs | arXiv | 2023 | Online KG Guildlines | Link |
| 8 | Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph | ICLR | 2024 | Online KG Guildlines | Link |
| 9 | Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation | ICLR | 2024 | Online KG Guildlines | Link |
| 10 | KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Grap | arXiv | 2024 | Agent-based KG Guildlines | Link |
| 11 | ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs | ACL Findings | 2024 | Agent-based KG Guildlines | Link |
| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs | KONVENS | 2023 | KG-Driven Filtering and Validation | Link |
| 2 | Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs | KONVENS | 2023 | KG-Driven Filtering and Validation | Link |
| 3 | KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques | BioNLP Workshop | 2024 | KG-Driven Filtering and Validation | Link |
| 4 | Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting | AAAI | 2024 | KG-Driven Filtering and Validation | Link |
| 5 | Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering | ariXv | 2024 | KG-Augmented Output Refinement | Link |
| 6 | Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models | ACL | 2024 | KG-Augmented Output Refinement | Link |
| 7 | Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs | arXiv | 2024 | KG-Augmented Output Refinement | Link |
| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Retrieval In Decoder benefits generative models for explainable complex question answering | Neural Networks | 2024 | - | Link |
| 2 | Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering | ACL | 2024 | - | Link |
| 3 | Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks | SIGIR | 2023 | - | Link |
| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Lako: Knowledge-driven visual question answering via late knowledge-to text injection | IJCKG | 2022 | - | Link |
| 2 | Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering | ACL | 2024 | - | Link |
| 3 | Knowledge-Enhanced Visual Question Answering with Multi-modal Joint Guidance | IJCKG | 2024 | - | Link |
| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks | SIGIR | 2023 | Conversational QA | Link |
| 2 | Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph | ACL Findings | 2024 | Conversational QA | Link |
| 3 | LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments | EMNLP | 2024 | Multi-Hop QA | Link |
| 4 | Multi-Hop Question Answering with LLMs & Knowledge Graphs | Blog | 2023 | Multi-Hop QA | Link |
| 5 | GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models | NLPCC | 2024 | Multi-Hop QA | Link |
| 6 | LLM-KGMQA: Large Language Model-Augmented Multi-Hop Question-Answering System based on Knowledge Graph in Medical Field | KBS | 2024 | Multi-Hop QA | Link |
| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning | arXiv | 2023 | Index-based Optimization | Link |
| 2 | Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs | ICLR | 2024 | Index-based Optimization | Link |
| 3 | Prompting Is Programming: A Query Language for Large Language Models | PLDL | 2023 | Prompting-based Optimization | Link |
| 4 | LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs | ACL Findings | 2024 | Prompting-based Optimization | Link |
| 5 | LightRAG: Simple and Fast Retrieval-Augmented Generation | arXiv | 2024 | Graph retrieval-based optimization | Link |
| 6 | Clue-Guided Path Exploration: Optimizing Knowledge Graph Retrieval with Large Language Models to Address the Information Black Box Challenge | arXiv | 2024 | Graph retrieval-based optimization | Link |
| 7 | KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques | BioNLP Workshop | 2024 | Ranking-based optimization | Link |
| 8 | KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering | arXiv | 2024 | Ranking-based optimization | Link |
| 9 | RAG-based Question Answering over Heterogeneous Data and Text | arXiv | 2024 | Ranking-based optimization | Link |
| 10 | Cost-efficient Knowledge-based Question Answering with Large Language Models | arXiv | 2024 | Cost-based optimization | Link |
| 11 | KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs | arXiv | 2024 | Cost-based optimization | Link |
| 12 | Knowledge Graph-Enhanced Large Language Models via Path Selection | ACL Findings | 2024 | Path-based optimization | Link |
| 13 | LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration | arXiv | 2024 | Path-based optimization | Link |
| 14 | Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models | arXiv | 2024 | Query-based optimization | Link |
| 15 | A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models | arXiv | 2024 | MapReduce-based optimization | Link |
| NO | Title | Venue | Year | Category | Paper Link |
|---|---|---|---|---|---|
| 1 | Triple Augmented Generative Language Models for SPARQL Query Generation from Natural Language Questions | arXiv | 2024 | NL2GQL | Link |
| 2 | R3-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL | ACL Findings | 2024 | NL2GQL | Link |
| 3 | Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL | CIKM | 2024 | NL2GQL | Link |
| 4 | UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models | arXiv | 2024 | NL2GQL | Link |
| 5 | NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language | arXiv | 2024 | NL2GQL | Link |
| 6 | CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era | arXiv | 2024 | NL2GQL | Link |
| 7 | SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher | CIKM | 2022 | NL2GQL | Link |
| 8 | Robust Text-to-Cypher Using Combination of BERT, GraphSAGE, and Transformer (CoBGT) Model | Applied Sciences | 2024 | NL2GQL | Link |
| 9 | Real-Time Text-to-Cypher Query Generation with Large Language Models for Graph Databases | Future Internet | 2024 | NL2GQL | Link |
| 10 | LLM4QA: Leveraging Large Language Model for Efficient Knowledge Graph Reasoning with SPARQL Query | Journal of Advances in Information Technology | 2024 | NL2GQL | Link |
| 11 | Text to Graph Query Using Filter Condition Attributes | LSGDA@VLDB | 2024 | NL2GQL | Link |
| 12 | Text-to-CQL Based on Large Language Model and Graph Pattern Enhancement | PRML | 2024 | NL2GQL | Link |
| 13 | Demystifying Natural Language to Cypher Conversion with OpenAI, Neo4j, LangChain, and LangSmith | Blog | 2024 | NL2GQL | Link |
| 14 | Text2Cypher, the beginning of the Graph + LLM stack | Blog | 2023 | NL2GQL | Link |
| 15 | Text2Cypher - Natural Language Queries | Blog | 2023 | NL2GQL | Link |
| 16 | LLaSA: Large Language and Structured Data Assistant | arXiv | 2024 | Structured Data Assistant | Link |
| 17 | GraphRAG and role of Graph Databases in Advancing AI | International Journal of Research in Computer Applications and Information Technology | 2024 | Graph DB | Link |
| NO | Title | Venue | Year | Dataset | Category | Paper Link |
|---|---|---|---|---|---|---|
| 1 | The Value of Semantic Parse Labeling for Knowledge Base Question Answering | ACL | 2016 | WebQSP | KBQA and KGQA | Link |
| 2 | Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs | arXiv | 2024 | CAQA | KBQA and KGQA | Link |
| 3 | G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering | arXiv | 2024 | GraphQA | KBQA and KGQA | Link |
| 4 | Automatic Question-Answer Generation for Long-Tail Knowledge | KnowledgeNL@KDD | 2023 | Long-tail QA | KBQA and KGQA | Link |
| 5 | CPAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering | ACL Findings | 2024 | TemporalQA | KBQA and KGQA | Link |
| 6 | A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases | GRADES-NDA | 2024 | ChatDB | LLM and KGs for QA | Link |
| 7 | XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs | EMNLP | 2024 | XplainLLM | LLM and KGs for QA | Link |
| 8 | Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering | SEMANTICS | 2023 | LLM-KG-Bench | LLM and KGs for QA | Link |
| 9 | Docugami Knowledge Graph Retrieval Augmented Generation (KG-RAG) Datasets | - | 2023 | KG-RAG | LLM and KGs for QA | - |
| 10 | How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA | ACL ARR | 2024 | - | LLM and KGs for QA | Link |
| 11 | MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge | arXiv | 2024 | MINTQA | LLM and KGs for QA | Link |
| 12 | SituatedQA: Incorporating Extra-Linguistic Contexts into QA | EMNLP | 2024 | SituatedQA | Open-retrieval QA | Link |
| 13 | PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering | ACL Findings | 2024 | PAQA | Temporal QA | Link |
| 14 | BioASQ-QA: A manually curated corpus for Biomedical Question Answering | Scientific Data | 2023 | BioASQ-QA | KBQA and KGQA | Link |
| 15 | MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation | arXiv | 2025 | LiHua-World | LLM and KGs for QA | Link |
| NO | Title | Venue | Year | Github | Category | Paper Link |
|---|---|---|---|---|---|---|
| 1 | KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation | arXiv | 2024 | KAG | LLM and KGs for QA | Link |
| 2 | From Local to Global: A Graph RAG Approach to Query-Focused Summarization | arXiv | 2024 | GraphRAG | LLM and KGs for QA | Link |
| 3 | LightRAG: Simple and Fast Retrieval-Augmented Generatio | arXiv | 2024 | LightRAG | LLM and KGs for QA | Link |
| 4 | Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs | arXiv | 2024 | Fact Finder | LLM and KGs for QA | Link |
| 5 | Leveraging Large Language Models and Knowledge Graphs for Advanced Biomedical Question Answering Systems | CSA 2024 | 2024 | Cypher Translator | LLM and KGs for QA | Link |
| 6 | A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers | arXiv | 2024 | - | LLM and KGs for QA | Link |
| 7 | Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education | arXiv | 2024 | - | LLM and KGs for QA | Link |
| NO | Name | Description | Source | Github |
|---|---|---|---|---|
| 1 | GraphRAG-QA | An industrial demo of GraphRAG integrating several query engine for augmenting QA, NLP2Cypher-based KG query engine, vector RAG query engine, and Graph vector RAG query engine. | NebulaGraph | GraphRAG-QA |
| 2 | Neo4jRAG-QA | This sample application demonstrates how to implement a Large Language Model (LLM) and Retrieval Augmented Generation (RAG) system with a Neo4j Graph Database. | Neo4j Graph | Neo4j Graph RAG |
| 3 | BioGraphRAG | This a platform to integrate biomedical knowledge graphs stored in NebulaGraph with LLMs via GraphRAG architecture. | NebulaGraph | BioGraphRAG |
| 4 | kotaemon | An open-source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind. | Cinnamon AI | kotaemon |
| NO | Title | Venue | Year | Paper Link |
|---|---|---|---|---|
| 1 | Unifying Large Language Models and Knowledge Graphs: A Roadmap | TKDE | 2024 | Link |
| 2 | Graph Retrieval-Augmented Generation: A Survey | arXiv | 2024 | Link |
| 3 | Retrieval-Augmented Generation with Graphs (GraphRAG) | arXiv | 2024 | Link |
| 4 | Multilingual Question Answering Systems for Knowledge Graphs—A Survey | Semantic Web | 2024 | Link |
| 5 | Temporal Knowledge Graph Question Answering: A Survey | arXiv | 2024 | Link |