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 2601–2650 of 2974 papers

TitleStatusHype
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning—0
Node Embeddings for Graph Merging: Case of Knowledge Graph Construction—0
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding—0
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature InteractionsCode0
DRUM: End-To-End Differentiable Rule Mining On Knowledge GraphsCode0
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?—0
Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy—0
Towards Combinational Relation Linking over Knowledge Graphs—0
Question Answering over Knowledge Graphs via Structural Query Patterns—0
Building Dynamic Knowledge Graphs from Text-based GamesCode0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
Towards Learning Cross-Modal Perception-Trace Models—0
Using a KG-Copy Network for Non-Goal Oriented DialoguesCode0
Efficiently Embedding Dynamic Knowledge Graphs—0
Aligning Cross-Lingual Entities with Multi-Aspect InformationCode0
GREASE: A Generative Model for Relevance Search over Knowledge Graphs—0
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context ExpansionCode0
Knowledge-based Biomedical Data Science 2019—0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations—0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction—0
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge GraphsCode0
Distantly Supervised Question ParsingCode0
Representation Learning with Ordered Relation Paths for Knowledge Graph CompletionCode0
NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN—0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph CompletionCode0
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis—0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
Extracting Conceptual Knowledge from Natural Language Text Using Maximum Likelihood Principle—0
Research Commentary on Recommendations with Side Information: A Survey and Research Directions—0
K-BERT: Enabling Language Representation with Knowledge GraphCode0
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks—0
RuDaS: Synthetic Datasets for Rule Learning and Evaluation ToolsCode0
HapPenIng: Happen, Predict, Infer -- Event Series Completion in a Knowledge Graph—0
How to make latent factors interpretable by feeding Factorization machines with knowledge graphsCode0
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion—0
KG-BERT: BERT for Knowledge Graph CompletionCode0
Structured Query Construction via Knowledge Graph Embedding—0
Identifying and Explaining Discriminative AttributesCode0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context GranularityCode0
A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development—0
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
Incorporating Domain Knowledge into Medical NLI using Knowledge GraphsCode0
Neural Snowball for Few-Shot Relation LearningCode0
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksCode0
Unsupervised Construction of Knowledge Graphs From Text and Code—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