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 2101–2150 of 2974 papers

TitleStatusHype
Detecting Cross-Language Plagiarism using Open Knowledge GraphsCode0
Distilling Causal Metaknowledge from Massive Knowledge Graph—0
Alleviating the Sparsity of Open Knowledge Graphs with Pretrained Contrastive Learning—0
QubitE: Qubit Embedding for Knowledge Graph CompletionCode0
Fair comparison of knowledge graphs for question answering—0
Knowledge Enhanced Embedding: Improve Model Generalization Through Knowledge Graphs—0
Neural Class Expression SynthesisCode0
An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs—0
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference—0
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion—0
Few-Shot Knowledge Graph Completion with Data Fusion and Augmentation—0
Language Model-Guided Knowledge Subgraphs for Question Answering—0
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment—0
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive CrossbarsCode0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
EvoLearner: Learning Description Logics with Evolutionary AlgorithmsCode0
A Probit Tensor Factorization Model For Relational Learning—0
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation—0
Order Matters: Matching Multiple Knowledge Graphs—0
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection—0
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph—0
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs—0
Distilling Relation Embeddings from Pretrained Language Models—0
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering—0
Zero-Shot Information Extraction to Enhance a Knowledge Graph Describing Silk TextilesCode0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
EventKE: Event-Enhanced Knowledge Graph Embedding—0
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation LearningCode0
CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs—0
Knowledge Representation Learning with Contrastive Completion Coding—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text GenerationCode0
Generating Table Vector Representations—0
APPTeK: Agent-Based Predicate Prediction in Temporal Knowledge Graphs—0
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning—0
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network—0
Creating Knowledge Graphs Subsets using Shape Expressions—0
Knowledge Graph informed Fake News Classification via Heterogeneous Representation EnsemblesCode0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning—0
Temporal Knowledge Graph Reasoning Triggered by MemoriesCode0
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead—0
Rule Induction in Knowledge Graphs Using Linear ProgrammingCode0
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding—0
ActiveEA: Active Learning for Neural Entity AlignmentCode0
The CaLiGraph Ontology as a Challenge for OWL ReasonersCode0
An Analysis of COVID-19 Knowledge Graph Construction and Applications—0
GNN is a Counter? Revisiting GNN for 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