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

Showing 28512900 of 2974 papers

TitleStatusHype
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing0
SimplE Embedding for Link Prediction in Knowledge GraphsCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge GraphCode0
Knowledge Graph Embedding with Multiple Relation Projections0
Learning to Speed Up Query Planning in Graph Databases0
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge GraphsCode0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding0
RelSifter: Scoring Triples from Type-like Relations - The Samphire Triple Scorer at WSDM Cup 20170
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks0
Knowledge Graph Embedding with Iterative Guidance from Soft RulesCode0
Multi-Label Zero-Shot Learning with Structured Knowledge GraphsCode0
TorusE: Knowledge Graph Embedding on a Lie Group0
Revisiting Simple Neural Networks for Learning Representations of Knowledge GraphsCode0
Tensor Decompositions for Modeling Inverse Dynamics0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
Open-World Knowledge Graph CompletionCode0
End-to-End Video Classification with Knowledge Graphs0
Multilingual Vector Representations of Words, Sentences, and Documents0
SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge GraphsCode0
Convolutional Neural Knowledge Graph Learning0
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation0
Towards Understanding the Evolution of Vocabulary Terms in Knowledge Graphs0
On Inductive Abilities of Latent Factor Models for Relational LearningCode0
Variational Reasoning for Question Answering with Knowledge GraphCode0
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation0
Answering Visual-Relational Queries in Web-Extracted Knowledge GraphsCode0
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs0
Position-aware Attention and Supervised Data Improve Slot FillingCode0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Sparsity and Noise: Where Knowledge Graph Embeddings Fall ShortCode0
Open-World Visual Recognition Using Knowledge Graphs0
Finding Streams in Knowledge Graphs to Support Fact CheckingCode0
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge GraphsCode0
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs0
Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs0
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional RelationsCode0
SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering0
UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA0
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking0
Explainable Entity-based Recommendations with Knowledge Graphs0
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison0
Iterative Entity Alignment via Joint Knowledge EmbeddingsCode0
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios0
Towards a Knowledge Graph based Speech Interface0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
Using Titles vs. Full-text as Source for Automated Semantic Document AnnotationCode0
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with ConfidenceCode0
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Benchmark Results

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