SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1801–1825 of 2974 papers

TitleStatusHype
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning—0
When Do Flat Minima Optimizers Work?Code1
Towards a Theoretical Understanding of Word and Relation Representation—0
Learning Representations of Entities and Relations—0
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methodsCode0
Ontology-enhanced Prompt-tuning for Few-shot Learning—0
A Survey on Visual Transfer Learning using Knowledge Graphs—0
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment—0
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using LiteralsCode1
Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data SourcesCode1
OntoProtein: Protein Pretraining With Gene Ontology EmbeddingCode1
Taxonomy Enrichment with Text and Graph Vector Representations—0
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy DataCode1
GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringCode2
Enhanced Knowledge Graphs Using Typed Entailment Graphs—0
COPA-SSE: Semi-structured Explanations for Commonsense ReasoningCode0
Prior Knowledge for Few-shot Learning—Inductive Reasoning and Distribution Calibration—0
Knowledge Graph Papers @ ICLR 2021—0
Do KG-augmented Models Leverage Knowledge as Humans Do?—0
Interactive Contrastive Learning for Self-supervised Entity Alignment—0
Generalizable Neuro-symbolic Systems for Commonsense Question Answering—0
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning—0
Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models—0
Dangling-Aware Entity Alignment with Mixed High-Order Proximities—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34—Unverified
2MKGformerMRR0.32—Unverified
3MarT_FLAVAMRR0.29—Unverified
4ViLBERTMRR0.29—Unverified
5IKRL (ANALOGY)MRR0.28—Unverified
6IKRLMRR0.27—Unverified
7ViLTMRR0.26—Unverified
8TransAEMRR0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15—Unverified
2Q*BERTSet accuracy32.78—Unverified
3GATA-WSet accuracy24.06—Unverified
4WorldformerSet accuracy23.22—Unverified
5Seq2SeqSet accuracy14.29—Unverified
6RulesSet accuracy4.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48—Unverified
2ComplEx-ConcatTest MRR0.86—Unverified
3ComplEx-RoBERTaTest MRR0.72—Unverified
4TransE-RoBERTaTest MRR0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59—Unverified