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 1991–2000 of 2974 papers

Title	Date	Tasks	Status	Hype
Knowledge Graph Question Answering via SPARQL Silhouette Generation	Sep 6, 2021	Graph Question AnsweringKnowledge Graphs	—Unverified	0
Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense	Sep 6, 2021	Entity EmbeddingsKnowledge Graphs	CodeCode Available	0
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation	Sep 5, 2021	Click-Through Rate PredictionKnowledge-Aware Recommendation	—Unverified	0
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model	Sep 5, 2021	Community DetectionGraph Embedding	CodeCode Available	1
Story Generation with Commonsense Knowledge Graphs and Axioms	Sep 3, 2021	Common Sense ReasoningKnowledge Graphs	—Unverified	0
CoSe-Co: Sentence Conditioned Generative CommonSense Contextualizer for Language Models	Sep 3, 2021	ARCKnowledge Graphs	—Unverified	0
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification	Sep 3, 2021	Authorship VerificationGraph Neural Network	CodeCode Available	0
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs	Sep 1, 2021	Conversational Question AnsweringKnowledge Graphs	—Unverified	0
Automated Mining of Leaderboards for Empirical AI Research	Aug 31, 2021	Knowledge GraphsScientific Results Extraction	CodeCode Available	1
Interactive Machine Comprehension with Dynamic Knowledge Graphs	Aug 31, 2021	Knowledge GraphsMachine Reading Comprehension	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