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 2751–2800 of 2974 papers

TitleStatusHype
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph—0
Improved Knowledge Graph Embedding using Background Taxonomic Information—0
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs—0
Expanding Holographic Embeddings for Knowledge Completion—0
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs—0
Embedding Uncertain Knowledge GraphsCode0
HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge GraphCode0
NSEEN: Neural Semantic Embedding for Entity Normalization—0
End-to-End Learning for Answering Structured Queries Directly over Text—0
Explainable Reasoning over Knowledge Graphs for RecommendationCode0
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Reasoning over RDF Knowledge Bases using Deep LearningCode0
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph EmbeddingCode0
Exploiting Explicit Paths for Multi-hop Reading ComprehensionCode0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs—0
OpenKE: An Open Toolkit for Knowledge EmbeddingCode0
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings—0
DOLORES: Deep Contextualized Knowledge Graph Embeddings—0
Towards Efficient Large-Scale Graph Neural Network Computing—0
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension—0
Scalable Micro-planned Generation of Discourse from Structured DataCode0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Hierarchical Relation Extraction with Coarse-to-Fine Grained AttentionCode0
A State-transition Framework to Answer Complex Questions over Knowledge Base—0
Cross-lingual Knowledge Graph Alignment via Graph Convolutional NetworksCode0
Which Knowledge Graph Is Best for Me?—0
Probabilistic Knowledge Graph Embeddings—0
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge GraphCode0
The Space-Efficient Core of Vadalog—0
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain—0
Learning Sequence Encoders for Temporal Knowledge Graph CompletionCode0
edge2vec: Representation learning using edge semantics for biomedical knowledge discoveryCode0
Feature Learning for Meta-Paths in Knowledge Graphs—0
On2Vec: Embedding-based Relation Prediction for Ontology Population—0
Multi-Hop Knowledge Graph Reasoning with Reward ShapingCode1
Towards a Better Metric for Evaluating Question Generation SystemsCode0
One-Shot Relational Learning for Knowledge GraphsCode0
Future Automation Engineering using Structural Graph Convolutional Neural Networks—0
Hypernetwork Knowledge Graph EmbeddingsCode0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
Exploratory Neural Relation Classification for Domain Knowledge Acquisition—0
A Neural Question Answering Model Based on Semi-Structured Tables—0
Automatic Assessment of Conceptual Text Complexity Using Knowledge Graphs—0
A First Experiment on Including Text Literals in KGloVe—0
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering—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