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 2201–2250 of 2974 papers

TitleStatusHype
Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications—0
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion—0
A Topological View of Rule Learning in Knowledge Graphs—0
Power Transformer Fault Prediction Based on Knowledge Graphs—0
Power-up! What Can Generative Models Do for Human Computation Workflows?—0
PRAGyan -- Connecting the Dots in Tweets—0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties—0
Predicting Drug-Drug Interactions Using Knowledge Graphs—0
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation—0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding—0
Predicting the Co-Evolution of Event and Knowledge Graphs—0
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving—0
Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment—0
Predictive AI with External Knowledge Infusion for Stocks—0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Atomic Fact Decomposition Helps Attributed Question Answering—0
Structured Graph Representations for Visual Narrative Reasoning: A Hierarchical Framework for Comics—0
Pretrained Transformers for Simple Question Answering—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
Pre-training Transformers for Knowledge Graph Completion—0
Pretrain-KGEs: Learning Knowledge Representation from Pretrained Models for Knowledge Graph Embeddings—0
GraphOracle: A Foundation Model for Knowledge Graph Reasoning—0
Prior Knowledge for Few-shot Learning—Inductive Reasoning and Distribution Calibration—0
Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility—0
Explain What You Mean: Intent Augmented Knowledge Graph Recommender Built With An LLM—0
A Constraint-based Recommender System via RDF Knowledge Graphs—0
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures—0
A tensorized logic programming language for large-scale data—0
Probabilistic Knowledge Graph Embeddings—0
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models—0
Probability Calibration for Knowledge Graph Embedding Models—0
Procedure Model for Building Knowledge Graphs for Industry Applications—0
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020—0
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models—0
ProcK: Machine Learning for Knowledge-Intensive Processes—0
PRODIGY: Enabling In-context Learning Over Graphs—0
TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency—0
A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution—0
Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks—0
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion—0
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs—0
Triple Classification for Scholarly Knowledge Graph Completion—0
Prompt-fused framework for Inductive Logical Query Answering—0
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts—0
A Temporal FRBR/FRBRoo-Based Model for Component-Level Versioning of Legal Norms—0
Triplètoile: Extraction of Knowledge from Microblogging Text—0
WawPart: Workload-Aware Partitioning of Knowledge Graphs—0
Proposition Knowledge Graphs—0
Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with 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