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

Showing 22012225 of 2974 papers

TitleStatusHype
Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications0
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion0
A Topological View of Rule Learning in Knowledge Graphs0
Power Transformer Fault Prediction Based on Knowledge Graphs0
Power-up! What Can Generative Models Do for Human Computation Workflows?0
PRAGyan -- Connecting the Dots in Tweets0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties0
Predicting Drug-Drug Interactions Using Knowledge Graphs0
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding0
Predicting the Co-Evolution of Event and Knowledge Graphs0
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving0
Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment0
Predictive AI with External Knowledge Infusion for Stocks0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction0
Atomic Fact Decomposition Helps Attributed Question Answering0
Structured Graph Representations for Visual Narrative Reasoning: A Hierarchical Framework for Comics0
Pretrained Transformers for Simple Question Answering0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph0
Pre-training Transformers for Knowledge Graph Completion0
Pretrain-KGEs: Learning Knowledge Representation from Pretrained Models for Knowledge Graph Embeddings0
GraphOracle: A Foundation Model for Knowledge Graph Reasoning0
Prior Knowledge for Few-shot Learning—Inductive Reasoning and Distribution Calibration0
Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34Unverified
2MKGformerMRR0.32Unverified
3MarT_FLAVAMRR0.29Unverified
4ViLBERTMRR0.29Unverified
5IKRL (ANALOGY)MRR0.28Unverified
6IKRLMRR0.27Unverified
7ViLTMRR0.26Unverified
8TransAEMRR0.22Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15Unverified
2Q*BERTSet accuracy32.78Unverified
3GATA-WSet accuracy24.06Unverified
4WorldformerSet accuracy23.22Unverified
5Seq2SeqSet accuracy14.29Unverified
6RulesSet accuracy4.7Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48Unverified
2ComplEx-ConcatTest MRR0.86Unverified
3ComplEx-RoBERTaTest MRR0.72Unverified
4TransE-RoBERTaTest MRR0.63Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59Unverified