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 2801–2850 of 2974 papers

TitleStatusHype
Global and local evaluation of link prediction tasks with neural embeddings—0
LinkNBed: Multi-Graph Representation Learning with Entity Linkage—0
AceKG: A Large-scale Knowledge Graph for Academic Data Mining—0
Data Science with Vadalog: Bridging Machine Learning and Reasoning—0
The Vadalog System: Datalog-based Reasoning for Knowledge Graphs—0
Leveraging Catalog Knowledge Graphs for Query Attribute Identification in E-Commerce Sites—0
Feature-based reformulation of entities in triple pattern queriesCode0
Phrase2VecGLM: Neural generalized language model--based semantic tagging for complex query reformulation in medical IR—0
Knowledge Graph Embedding with Numeric Attributes of Entities—0
Towards Understanding the Geometry of Knowledge Graph EmbeddingsCode0
Embedding Models for Episodic Knowledge Graphs—0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment—0
Measuring Semantic Coherence of a ConversationCode0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Embedding Logical Queries on Knowledge GraphsCode1
ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia—0
Named Graphs for Semantic Representation—0
NewsReader at SemEval-2018 Task 5: Counting events by reasoning over event-centric-knowledge-graphs—0
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning—0
Accurate Text-Enhanced Knowledge Graph Representation Learning—0
ELDEN: Improved Entity Linking Using Densified Knowledge GraphsCode0
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings—0
Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering?—0
Generating Fine-Grained Open Vocabulary Entity Type DescriptionsCode0
From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules—0
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information RetrievalCode0
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures—0
Adversarial Contrastive Estimation—0
Weakly-supervised Contextualization of Knowledge Graph Facts—0
Improving Knowledge Graph Embedding Using Simple ConstraintsCode0
EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph—0
Retrieving Information from the French Lexical Network in RDF/OWL Format—0
Word Embedding Evaluation Datasets and Wikipedia Title Embedding for Chinese—0
Robust Discovery of Positive and Negative Rules in Knowledge-BasesCode0
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding—0
EventKG: A Multilingual Event-Centric Temporal Knowledge Graph—0
Not just about size - A Study on the Role of Distributed Word Representations in the Analysis of Scientific Publications—0
Scene Graph Parsing as Dependency ParsingCode1
Zero-shot Recognition via Semantic Embeddings and Knowledge GraphsCode0
Variational Knowledge Graph Reasoning—0
Learning Deep Generative Models of Graphs—0
Linking ImageNet WordNet Synsets with Wikidata—0
Improving Graph Convolutional Networks with Non-Parametric Activation Functions—0
Scalable Label Propagation for Multi-relational Learning on the Tensor Product of GraphsCode0
Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity TypesCode0
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
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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