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 2661–2670 of 2974 papers

Title	Date	Tasks	Status
Degree-Aware Alignment for Entities in Tail	May 25, 2020	Entity AlignmentKnowledge Graphs	CodeCode Available
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection	Oct 18, 2023	DenoisingKnowledge Graphs	CodeCode Available
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs	Dec 4, 2023	Explanation GenerationGraph Neural Network	CodeCode Available
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games	Oct 22, 2020	Decision MakingDeep Reinforcement Learning	CodeCode Available
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding	Nov 4, 2018	Graph EmbeddingKnowledge Graph Completion	CodeCode Available
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation	Feb 2, 2024	Knowledge GraphsText Generation	CodeCode Available
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding	Sep 8, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available
Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs	Aug 2, 2024	In-Context LearningKnowledge Graphs	CodeCode Available
Relational Concept Bottleneck Models	Aug 23, 2023	Deep Learningimage-classification	CodeCode Available
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs	Mar 17, 2024	HallucinationKnowledge Graphs	CodeCode Available

Show:10 25 50

← PrevPage 267 of 298Next →

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