DiffTSP applies discrete diffusion to knowledge graph triple set prediction, recovering all missing triples simultaneously via edge-masking noise reversal and a structure-aware transformer, achieving SOTA on three datasets.
Question answering over knowledge graphs: question understanding via template decomposition,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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UniQGen is a constraint-guided LLM agent framework that generates accurate Cypher queries for KGQA, reporting F1 gains of 31.6% on GraphQ and 4.9% on GrailQA over prior methods without requiring fine-tuning.
citing papers explorer
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One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Prediction
DiffTSP applies discrete diffusion to knowledge graph triple set prediction, recovering all missing triples simultaneously via edge-masking noise reversal and a structure-aware transformer, achieving SOTA on three datasets.
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Graph Query Generation with Constraint-guided Large Language Agents
UniQGen is a constraint-guided LLM agent framework that generates accurate Cypher queries for KGQA, reporting F1 gains of 31.6% on GraphQ and 4.9% on GrailQA over prior methods without requiring fine-tuning.