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 1751–1800 of 2974 papers

TitleStatusHype
AWAPart: Adaptive Workload-Aware Partitioning of Knowledge Graphs—0
The Digitalization of Bioassays in the Open Research Knowledge GraphCode0
WawPart: Workload-Aware Partitioning of Knowledge Graphs—0
Augmenting Knowledge Graphs for Better Link PredictionCode0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings—0
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue SystemsCode1
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Knowledge Graph Embedding Methods for Entity Alignment: An Experimental ReviewCode1
Multimodal Learning on Graphs for Disease Relation ExtractionCode1
Personal Knowledge Graphs: Use Cases in e-learning Platforms—0
TegTok: Augmenting Text Generation via Task-specific and Open-world KnowledgeCode0
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Neural Theorem Provers Delineating Search Area Using RNN—0
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition—0
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph ExpertsCode1
Ensemble Semi-supervised Entity Alignment via Cycle-teachingCode0
Semi-constraint Optimal Transport for Entity Alignment with Dangling CasesCode1
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity DetectionCode1
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
ModulE: Module Embedding for Knowledge Graphs—0
Scaling R-GCN Training with Graph Summarization—0
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning—0
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge GraphsCode1
R-GCN: The R Could Stand for RandomCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
SelfKG: Self-Supervised Entity Alignment in Knowledge GraphsCode1
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application—0
Pattern Recognition and Event Detection on IoT Data-streams—0
Dual Embodied-Symbolic Concept Representations for Deep Learning—0
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs—0
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach—0
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social MediaCode1
Rule Mining over Knowledge Graphs via Reinforcement Learning—0
MixKG: Mixing for harder negative samples in knowledge graph—0
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion—0
Unleashing the Power of Transformer for Graphs—0
Discovering Fine-Grained Semantics in Knowledge Graph Relations—0
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing—0
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
Learning to Discover Medicines—0
On the Relationship between Shy and Warded Datalog+/-—0
Multi-Modal Knowledge Graph Construction and Application: A Survey—0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Complexity of Arithmetic in Warded Datalog+-—0
Computing Rule-Based Explanations of Machine Learning Classifiers using 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