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 191–200 of 2974 papers

Title	Date	Tasks	Status	Hype
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models	Nov 1, 2023	Clinical KnowledgeDiversity	CodeCode Available	1
Linking Surface Facts to Large-Scale Knowledge Graphs	Oct 23, 2023	FormKnowledge Graphs	CodeCode Available	1
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models	Oct 17, 2023	Fact VerificationKnowledge Graphs	CodeCode Available	1
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model	Oct 13, 2023	Knowledge GraphsLanguage Modeling	CodeCode Available	1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement	Oct 12, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Relational Prior Knowledge Graphs for Detection and Instance Segmentation	Oct 11, 2023	Instance SegmentationKnowledge Graphs	CodeCode Available	1
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction	Oct 10, 2023	ClassificationKnowledge Graphs	CodeCode Available	1
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs	Oct 5, 2023	Cross-Modal RetrievalDomain Generalization	CodeCode Available	1
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs	Oct 5, 2023	Data IntegrationEntity Alignment	CodeCode Available	1
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning	Oct 2, 2023	Knowledge GraphsLanguage Modeling	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