OpenCodePapers

complex-query-answering-on-fb15k

Inductive knowledge graph completionLarge Language ModelKnowledge GraphsComplex Query Answering

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Paper	Code	MRR 1p	MRR 2i	MRR 2p	MRR 2u	MRR 3i	MRR 3p	MRR ip	MRR pi	MRR up	Hits@3 1p	Hits@3 2i	Hits@3 2p	Hits@3 2u	Hits@3 3i	Hits@3 3p	Hits@3 ip	Hits@3 pi	Hits@3 up	ModelName	ReleaseDate
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization	✓ Link	0.895	0.803	0.674	0.767	0.836	0.588	0.740	0.752	0.613										QTO	2022-12-19
Complex Query Answering with Neural Link Predictors	✓ Link	0.892	0.771	0.653	0.723	0.806		0.716												CQD	2020-11-06
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering		0.892	0.761	0.645	0.684	0.794	0.579	0.706	0.701	0.579										CQDA	2023-01-29
Neural-Symbolic Models for Logical Queries on Knowledge Graphs	✓ Link	0.885	0.797	0.693	0.741	0.835	0.587	0.704	0.699	0.610										GNN-QE	2022-05-16
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings	✓ Link	0.68	0.551	0.21	0.351	0.665	0.142	0.261	0.394	0.167										Q2B	2020-02-14
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs	✓ Link	0.651	0.558	0.257	0.401	0.665	0.247	0.281	0.439	0.252										BetaE	2020-10-22
Embedding Logical Queries on Knowledge Graphs	✓ Link	0.546	0.397	0.153	0.221	0.514	0.108	0.191	0.276	0.116										GQE	2018-06-05
Complex Query Answering with Neural Link Predictors	✓ Link										0.918	0.796	0.779	0.839	0.837	0.577	0.375	0.658	0.345	CQD-Beam	2020-11-06
Complex Query Answering with Neural Link Predictors	✓ Link										0.918	0.796	0.454	0.816	0.837	0.191	0.336	0.513	0.319	CQD-CO	2020-11-06