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

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Showing 2851–2900 of 2974 papers

TitleStatusHype
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing—0
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 Projections—0
Learning to Speed Up Query Planning in Graph Databases—0
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge GraphsCode0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding—0
RelSifter: Scoring Triples from Type-like Relations - The Samphire Triple Scorer at WSDM Cup 2017—0
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks—0
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 Group—0
Revisiting Simple Neural Networks for Learning Representations of Knowledge GraphsCode0
Tensor Decompositions for Modeling Inverse Dynamics—0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
Open-World Knowledge Graph CompletionCode0
End-to-End Video Classification with Knowledge Graphs—0
Multilingual Vector Representations of Words, Sentences, and Documents—0
SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge GraphsCode0
Convolutional Neural Knowledge Graph Learning—0
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation—0
Towards Understanding the Evolution of Vocabulary Terms in Knowledge Graphs—0
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 Translation—0
Answering Visual-Relational Queries in Web-Extracted Knowledge GraphsCode0
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs—0
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 Graphs—0
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 Graphs—0
Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs—0
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional RelationsCode0
SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering—0
UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA—0
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks—0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking—0
Explainable Entity-based Recommendations with Knowledge Graphs—0
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison—0
Iterative Entity Alignment via Joint Knowledge EmbeddingsCode0
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios—0
Towards a Knowledge Graph based Speech Interface—0
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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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