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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 2801–2850 of 2974 papers

TitleStatusHype
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models—0
Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies—0
Detecting text level intellectual influence with knowledge graph embeddings—0
Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT—0
Detecting and Adapting to Novelty in Games—0
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model—0
Generating Reliable Adverse event Profiles for Health through Automated Integrated Data (GRAPH-AID): A Semi-Automated Ontology Building Approach—0
Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model—0
Generating Table Vector Representations—0
Geo-Semantic-Parsing: AI-powered geoparsing by traversing semantic knowledge graphs—0
Dependently Typed Knowledge Graphs—0
Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact—0
Generative Adversarial Zero-shot Learning via Knowledge Graphs—0
Democratising Knowledge Representation with BioCypher—0
DEMENTIA-PLAN: An Agent-Based Framework for Multi-Knowledge Graph Retrieval-Augmented Generation in Dementia Care—0
Generic Statistical Relational Entity Resolution in Knowledge Graphs—0
Soft Marginal TransE for Scholarly Knowledge Graph Completion—0
Degree aware based adversarial graph convolutional networks for entity alignment in heterogeneous knowledge graph—0
GeoAI for Knowledge Graph Construction: Identifying Causality Between Cascading Events to Support Environmental Resilience Research—0
Extending Complex Logical Queries on Uncertain Knowledge Graphs—0
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
Geometric Models for (Temporally) Attributed Description Logics—0
Geometric Relational Embeddings—0
GeoRDF2Vec Learning Location-Aware Entity Representations in Knowledge Graphs—0
Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs—0
Geospatial Knowledge Graphs—0
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale—0
German Tourism Knowledge Graph—0
Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc—0
Getting Quechua Closer to Final Users through Knowledge Graphs—0
DEFT 2020 - Extraction d'information fine dans les donn\'ees cliniques : terminologies sp\'ecialis\'ees et graphes de connaissance (Fine-grained Information Extraction in Clinical Data : Dedicated Terminologies and Knowledge Graphs )—0
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation—0
GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction—0
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding—0
Global and local evaluation of link prediction tasks with neural embeddings—0
GMH: A General Multi-hop Reasoning Model for KG Completion—0
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs—0
GNN is a Counter? Revisiting GNN for Question Answering—0
Defeasible Reasoning with Knowledge Graphs—0
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations—0
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge—0
Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching—0
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition—0
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs—0
Updating Embeddings for Dynamic Knowledge Graphs—0
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer—0
Deep Sparse Latent Feature Models for Knowledge Graph Completion—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