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 441–450 of 2974 papers

Title	Date	Tasks	Status	Hype
SpikE: spike-based embeddings for multi-relational graph data	Apr 27, 2021	Graph EmbeddingKnowledge Graphs	CodeCode Available	1
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case	Apr 24, 2021	image-classificationImage Classification	CodeCode Available	1
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding	Apr 22, 2021	AutoMLGraph Embedding	CodeCode Available	1
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation	Apr 21, 2021	Knowledge GraphsLink Prediction	CodeCode Available	1
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning	Apr 18, 2021	Knowledge Graphs	CodeCode Available	1
DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages	Apr 17, 2021	ClusteringKnowledge Graphs	CodeCode Available	1
Zero-shot Slot Filling with DPR and RAG	Apr 17, 2021	Knowledge Base PopulationKnowledge Graphs	CodeCode Available	1
Faithfully Explainable Recommendation via Neural Logic Reasoning	Apr 16, 2021	Decision MakingExplainable Recommendation	CodeCode Available	1
NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion	Apr 15, 2021	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	1
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering	Apr 13, 2021	Common Sense ReasoningGraph Representation Learning	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