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 17011725 of 2974 papers

TitleStatusHype
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph0
Personal Knowledge Graphs: Use Cases in e-learning Platforms0
Personal Research Knowledge Graphs0
Phrase2VecGLM: Neural generalized language model--based semantic tagging for complex query reformulation in medical IR0
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application0
POINT: a web-based platform for pharmacological investigation enhanced by multi-omics networks and knowledge graphs0
PolyG: Effective and Efficient GraphRAG with Adaptive Graph Traversal0
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation0
Posets and Bounded Probabilities for Discovering Order-inducing Features in Event Knowledge Graphs0
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
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
Predicting Drug-Drug Interactions Using Knowledge Graphs0
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
Predictive AI with External Knowledge Infusion for Stocks0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction0
Pretrained Transformers for Simple Question Answering0
Pre-training Transformers for Knowledge Graph Completion0
Pretrain-KGEs: Learning Knowledge Representation from Pretrained Models for Knowledge Graph Embeddings0
Prior Knowledge for Few-shot Learning—Inductive Reasoning and Distribution Calibration0
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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