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 1311–1320 of 2974 papers

Title	Date	Tasks	Status
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning	May 9, 2024	Graph Neural NetworkKnowledge Graphs	—Unverified
Improving Neural Text Summarization using Knowledge Graphs	Oct 24, 2020	Extractive Text SummarizationKnowledge Graphs	—Unverified
Improving Quality Assessment of Online Reviews UsingFormal Argumentation Theory and Knowledge Graphs	Sep 13, 2021	BIG-bench Machine LearningKnowledge Graphs	—Unverified
Improving Question Answering over Knowledge Graphs Using Graph Summarization	Mar 25, 2022	Entity EmbeddingsGraph Embedding	—Unverified
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations	Oct 2, 2019	Knowledge Graphs	—Unverified
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models	Nov 4, 2024	Experimental DesignHallucination	—Unverified
Degree aware based adversarial graph convolutional networks for entity alignment in heterogeneous knowledge graph	Apr 28, 2022	Entity AlignmentGenerative Adversarial Network	—Unverified
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction	Apr 2, 2020	Graph EmbeddingKnowledge Graph Completion	—Unverified
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation	Aug 1, 2021	coreference-resolutionCoreference Resolution	—Unverified
Growing and Serving Large Open-domain Knowledge Graphs	May 16, 2023	Entity LinkingFact Verification	—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