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 1301–1325 of 2974 papers

TitleStatusHype
Improving Image Captioning by Leveraging Knowledge Graphs—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase—0
Guiding Generative Storytelling with Knowledge Graphs—0
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding—0
Guided Generation of Cause and Effect—0
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training—0
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model—0
Deep Sparse Latent Feature Models for Knowledge Graph Completion—0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain—0
Improving Neural Text Summarization using Knowledge Graphs—0
Improving Quality Assessment of Online Reviews UsingFormal Argumentation Theory and Knowledge Graphs—0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning—0
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models—0
Degree aware based adversarial graph convolutional networks for entity alignment in heterogeneous knowledge graph—0
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations—0
Improving Scene Graph Classification by Exploiting Knowledge from Texts—0
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation—0
In-Context Learning with Topological Information for Knowledge Graph Completion—0
Growing and Serving Large Open-domain Knowledge Graphs—0
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension—0
Grounding LLM Reasoning with Knowledge Graphs—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