Knowledge Graphs

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 421–430 of 2974 papers

Title	Date	Tasks	Status	Hype
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting	May 10, 2022	Graph Neural NetworkKnowledge Graphs	CodeCode Available	1
MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion	Jul 11, 2021	Information RetrievalKnowledge Graph Completion	CodeCode Available	1
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training	Jun 8, 2020	Graph GenerationKnowledge Graphs	CodeCode Available	1
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT	Sep 10, 2021	Knowledge Graphs	CodeCode Available	1
MMKG: Multi-Modal Knowledge Graphs	Mar 13, 2019	Knowledge GraphsLink Prediction	CodeCode Available	1
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs	Jan 29, 2020	Data-to-Text GenerationGraph-to-Sequence	CodeCode Available	1
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models	Sep 5, 2024	Answer GenerationGraph Question Answering	CodeCode Available	1
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions	Jun 2, 2021	Causal DiscoveryKnowledge Graphs	CodeCode Available	1
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs	Jan 20, 2023	Causal DiscoveryCausal Inference	CodeCode Available	1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records	Mar 22, 2021	Knowledge Graph EmbeddingsKnowledge Graphs	CodeCode Available	1

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All datasets MARS (Multimodal Analogical Reasoning dataSet)JerichoWorld WikiKG90M-LSC FB15k

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MarT_MKGformer	MRR	0.34	—	Unverified
2	MKGformer	MRR	0.32	—	Unverified
3	MarT_FLAVA	MRR	0.29	—	Unverified
4	ViLBERT	MRR	0.29	—	Unverified
5	IKRL (ANALOGY)	MRR	0.28	—	Unverified
6	IKRL	MRR	0.27	—	Unverified
7	ViLT	MRR	0.26	—	Unverified
8	TransAE	MRR	0.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Worldformer	Set accuracy	39.15	—	Unverified
2	Q*BERT	Set accuracy	32.78	—	Unverified
3	GATA-W	Set accuracy	24.06	—	Unverified
4	Worldformer	Set accuracy	23.22	—	Unverified
5	Seq2Seq	Set accuracy	14.29	—	Unverified
6	Rules	Set accuracy	4.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TransE-Concat	Test MRR	85.48	—	Unverified
2	ComplEx-Concat	Test MRR	0.86	—	Unverified
3	ComplEx-RoBERTa	Test MRR	0.72	—	Unverified
4	TransE-RoBERTa	Test MRR	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	COMPLEX	MRR	0.59	—	Unverified