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 1841–1850 of 2974 papers

Title	Date	Tasks	Status	Hype
Stay Positive: Knowledge Graph Embedding Without Negative Sampling	Jan 7, 2022	Binary ClassificationGraph Embedding	CodeCode Available	0
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning	Jan 6, 2022	counterfactualCounterfactual Reasoning	—Unverified	0
Comparison of biomedical relationship extraction methods and models for knowledge graph creation	Jan 5, 2022	Key Information ExtractionKnowledge Graphs	—Unverified	0
Informed Multi-context Entity Alignment	Jan 2, 2022	Entity AlignmentEntity Embeddings	CodeCode Available	0
An Inference Approach To Question Answering Over Knowledge Graphs	Dec 21, 2021	Knowledge GraphsQuestion Answering	—Unverified	0
Contrastive Object Detection Using Knowledge Graph Embeddings	Dec 21, 2021	Knowledge Graph EmbeddingsKnowledge Graphs	—Unverified	0
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction	Dec 20, 2021	Knowledge Graph CompletionKnowledge Graph Embedding	CodeCode Available	1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning	Dec 18, 2021	Knowledge GraphsLink Prediction	CodeCode Available	1
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey	Dec 18, 2021	Data AugmentationFew-Shot Learning	—Unverified	0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling	Dec 17, 2021	Binary ClassificationKnowledge Base Completion	—Unverified	0

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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