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 1391–1400 of 2974 papers

Title	Date	Tasks	Status
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding	Feb 10, 2020	Graph EmbeddingKnowledge Graph Embedding	—Unverified
Investigating Graph Structure Information for Entity Alignment with Dangling Cases	Apr 10, 2023	Contrastive LearningEntity Alignment	—Unverified
COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning	Apr 21, 2020	Knowledge Graphs	—Unverified
Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models	Jan 16, 2022	Graph Neural NetworkKnowledge Graphs	—Unverified
Large Language Models Can Better Understand Knowledge Graphs Than We Thought	Feb 18, 2024	Knowledge GraphsPrompt Engineering	—Unverified
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering	Jun 2, 2025	Graph Neural NetworkKnowledge Base Question Answering	—Unverified
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis	Sep 14, 2023	Dimensionality ReductionKnowledge Graphs	—Unverified
Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods	Feb 21, 2020	Entity DisambiguationKnowledge Graph Completion	—Unverified
GreaseLM: Graph REASoning Enhanced Language Models	Sep 29, 2021	Knowledge GraphsMedical Question Answering	—Unverified
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment	Jun 18, 2018	Entity AlignmentKnowledge Graphs	—Unverified

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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