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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1101–1125 of 2974 papers

TitleStatusHype
Benchmark datasets for biomedical knowledge graphs with negative statements—0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation—0
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?—0
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices—0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs—0
HJE: Joint Convolutional Representation Learning for Knowledge Hypergraph Completion—0
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems—0
An Entity-centric Approach for Overcoming Knowledge Graph Sparsity—0
Development of a MultiModal Annotation Framework and Dataset for Deep Video Understanding—0
Bayesian Knowledge-driven Critiquing with Indirect Evidence—0
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19—0
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting—0
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal—0
Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT—0
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review—0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
High-Throughput Vector Similarity Search in Knowledge Graphs—0
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic—0
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs—0
Detecting the Adversarially-Learned Injection Attacks via Knowledge Graphs—0
An Ensemble-based approach for assigning text to correct Harmonized system code—0
Detecting text level intellectual influence with knowledge graph embeddings—0
Accelerating Antibiotic Discovery with Large Language Models and 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