{"url":"/task/graph-question-answering","name":"Graph Question Answering","slug":"graph-question-answering","description_markdown":null,"categories":[{"name":"Graphs","url":"/area/graphs"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":78,"papers_with_code":42,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/graph-question-answering-on-gqa","slug":"graph-question-answering-on-gqa","dataset":"GQA","dataset_url":"/dataset/gqa","rows_in_archive":2,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"GraphVQA","paper_title":"GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering","paper_url":"/paper/graghvqa-language-guided-graph-neural","paper_date":"2021-04-20","arxiv_id":"2104.10283","code_links":[{"title":"codexxxl/GraphVQA","url":"https://github.com/codexxxl/GraphVQA"}],"syntology":null}}],"datasets":[{"url":"/dataset/gqa","name":"GQA","full_name":"GQA","num_papers_in_archive":749}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":42,"tagged_in_all":78,"items":[{"url":"/paper/tempoqr-temporal-question-reasoning-over","title":"TempoQR: Temporal Question Reasoning over Knowledge Graphs","date":"2021-12-10","arxiv_id":"2112.05785","repositories_listed":3,"syntology":null},{"url":"/paper/g-retriever-retrieval-augmented-generation","title":"G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering","date":"2024-02-12","arxiv_id":"2402.07630","repositories_listed":2,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/would-you-ask-it-that-way-measuring-and","title":"Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering","date":"2022-05-25","arxiv_id":"2205.12768","repositories_listed":2,"syntology":null},{"url":"/paper/learning-efficient-and-generalizable-graph","title":"Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering","date":"2025-06-11","arxiv_id":"2506.09645","repositories_listed":1,"syntology":null},{"url":"/paper/q-nl-verifier-leveraging-synthetic-data-for","title":"Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering","date":"2025-03-03","arxiv_id":"2503.01385","repositories_listed":1,"syntology":null},{"url":"/paper/rotor-towards-more-reliable-responses-for","title":"RoToR: Towards More Reliable Responses for Order-Invariant Inputs","date":"2025-02-10","arxiv_id":"2502.08662","repositories_listed":1,"syntology":null},{"url":"/paper/ontology-guided-hybrid-prompt-learning-for","title":"Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering","date":"2025-02-06","arxiv_id":"2502.03992","repositories_listed":1,"syntology":null},{"url":"/paper/harnessing-large-language-models-for-1","title":"Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation","date":"2024-12-24","arxiv_id":"2412.18537","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":3}},{"url":"/paper/enhancing-sparql-generation-by-triplet-order","title":"Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training","date":"2024-10-08","arxiv_id":"2410.05731","repositories_listed":1,"syntology":null},{"url":"/paper/question-guided-knowledge-graph-re-scoring","title":"Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering","date":"2024-10-02","arxiv_id":"2410.01401","repositories_listed":1,"syntology":null},{"url":"/paper/cotkr-chain-of-thought-enhanced-knowledge","title":"CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering","date":"2024-09-29","arxiv_id":"2409.19753","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/konstruktor-a-strong-baseline-for-simple","title":"Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering","date":"2024-09-24","arxiv_id":"2409.15902","repositories_listed":1,"syntology":null},{"url":"/paper/debate-on-graph-a-flexible-and-reliable","title":"Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models","date":"2024-09-05","arxiv_id":"2409.03155","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_unverified":1,"n_pointer_only":2}},{"url":"/paper/mst5-multilingual-question-answering-over","title":"MST5 -- Multilingual Question Answering over Knowledge Graphs","date":"2024-07-08","arxiv_id":"2407.06041","repositories_listed":1,"syntology":null},{"url":"/paper/biokgbench-a-knowledge-graph-checking","title":"BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science","date":"2024-06-29","arxiv_id":"2407.00466","repositories_listed":1,"syntology":null},{"url":"/paper/taglas-an-atlas-of-text-attributed-graph","title":"TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models","date":"2024-06-20","arxiv_id":"2406.14683","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/linkq-an-llm-assisted-visual-interface-for","title":"LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering","date":"2024-06-07","arxiv_id":"2406.06621","repositories_listed":1,"syntology":null},{"url":"/paper/gnn-rag-graph-neural-retrieval-for-large","title":"GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning","date":"2024-05-30","arxiv_id":"2405.20139","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_unverified":1,"n_pointer_only":7}},{"url":"/paper/generate-on-graph-treat-llm-as-both-agent-and","title":"Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering","date":"2024-04-23","arxiv_id":"2404.14741","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_unverified":2,"n_pointer_only":11}},{"url":"/paper/cr-lt-kgqa-a-knowledge-graph-question","title":"CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge","date":"2024-03-03","arxiv_id":"2403.01395","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/graphtranslator-aligning-graph-model-to-large","title":"GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks","date":"2024-02-11","arxiv_id":"2402.07197","repositories_listed":1,"syntology":{"n":9,"n_ran":8,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/leveraging-llms-in-scholarly-knowledge-graph","title":"Leveraging LLMs in Scholarly Knowledge Graph Question Answering","date":"2023-11-16","arxiv_id":"2311.09841","repositories_listed":1,"syntology":null},{"url":"/paper/nlqxform-a-language-model-based-question-to","title":"NLQxform: A Language Model-based Question to SPARQL Transformer","date":"2023-11-08","arxiv_id":"2311.07588","repositories_listed":1,"syntology":null},{"url":"/paper/nutrea-neural-tree-search-for-context-guided-1","title":"NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA","date":"2023-10-24","arxiv_id":"2310.15484","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/psychic-a-neuro-symbolic-framework-for","title":"PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding","date":"2023-10-19","arxiv_id":"2310.12638","repositories_listed":1,"syntology":null},{"url":"/paper/spider4sparql-a-complex-benchmark-for","title":"Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems","date":"2023-09-28","arxiv_id":"2309.16248","repositories_listed":1,"syntology":null},{"url":"/paper/retrieve-rewrite-answer-a-kg-to-text-enhanced","title":"Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering","date":"2023-09-20","arxiv_id":"2309.11206","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_unverified":1,"n_pointer_only":3}},{"url":"/paper/the-role-of-output-vocabulary-in-t2t-lms-for","title":"The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing","date":"2023-05-24","arxiv_id":"2305.15108","repositories_listed":1,"syntology":null},{"url":"/paper/gett-qa-graph-embedding-based-t2t-transformer","title":"GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering","date":"2023-03-23","arxiv_id":"2303.13284","repositories_listed":1,"syntology":null},{"url":"/paper/an-empirical-study-of-pre-trained-language","title":"An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering","date":"2023-03-18","arxiv_id":"2303.10368","repositories_listed":1,"syntology":null}],"syntology_records":11,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}