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 2701–2725 of 2974 papers

TitleStatusHype
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs—0
Representation Learning for Dynamic Graphs: A Survey—0
TACAM: Topic And Context Aware Argument Mining—0
Path Ranking with Attention to Type HierarchiesCode0
ESA: Entity Summarization with AttentionCode0
Stochastic Shared Embeddings: Data-driven Regularization of Embedding LayersCode0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
Content based News Recommendation via Shortest Entity Distance over Knowledge GraphsCode0
Multi-relational Poincaré Graph EmbeddingsCode0
Simulation and Augmentation of Social Networks for Building Deep Learning ModelsCode0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks—0
PaperRobot: Incremental Draft Generation of Scientific IdeasCode0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
TuckER: Tensor Factorization for Knowledge Graph CompletionCode0
Learning to Exploit Long-term Relational Dependencies in Knowledge GraphsCode0
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender SystemsCode0
Cyber-All-Intel: An AI for Security related Threat Intelligence—0
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual StorytellingCode0
Pretrained Transformers for Simple Question Answering—0
Graph Transformer—0
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding—0
Neural Variational Inference For Embedding 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