Graph Question Answering
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Benchmarks
GQA
Most implemented
TempoQR: Temporal Question Reasoning over Knowledge Graphs
MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering
Papers
The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge Graphs
A graph retrieval-augmented generation pipeline chooses which triples to put in the prompt, a syntax to write them in, an order to write them in, and a sentence telling the model what to do with them. We vary all four ov…
Graph Question AnsweringKnowledge GraphsQuery-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation
GNN-based Knowledge Graph Question Answering (KGQA) pipelines process queries through four discrete stages: entity linking, subgraph retrieval, GNN reasoning, and answer generation. Standard robustness evaluations confla…
Graph Question AnsweringAnswer GenerationEntity LinkingCompositional Chain-of-Relations for Faithful Knowledge Graph Question Answering with Large Language Models
Knowledge graph question answering (KGQA) is a key task for evaluating KG-augmented Large Language Models (LLMs), and complex KGQA that requires multi-hop reasoning is especially challenging. Solving a complex query invo…
Graph Question AnsweringSABET-QA: Temporal Knowledge Graph Question Answering
Question Answering over Temporal Knowledge Graphs (TKGQA) requires reasoning over time-sensitive facts, yet existing embedding-based methods struggle with multi-step queries due to single-pass reasoning pipelines. We pro…
Graph Question AnsweringKnowledge GraphsMissDiag: Diagnostic Evaluation of Incomplete-Knowledge Robustness in KGQA and KG-RAG
Knowledge graph question answering (KGQA) and knowledge-graph-based retrieval-augmented generation (KG-RAG) aim to ground answers in explicit graph evidence, but real-world knowledge graphs are often sparse, outdated, an…
Graph Question AnsweringKnowledge GraphsMARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA
Large language models (LLMs) have demonstrated strong reasoning performance, but their tendency to hallucinate limits their reliability in knowledge-intensive tasks requiring up-to-date and grounded information. Combinin…
Graph Question AnsweringKnowledge Graphs