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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 2251–2300 of 2974 papers

TitleStatusHype
Knowledge Questions from Knowledge Graphs—0
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules—0
Knowledge Representation in Graphs using Convolutional Neural Networks—0
Knowledge Representation Learning with Contrastive Completion Coding—0
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs—0
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs—0
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs—0
Knowledge Transfer with Medical Language Embeddings—0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs—0
KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs—0
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition—0
KompaRe: A Knowledge Graph Comparative Reasoning System—0
KORE 50\^DYWC: An Evaluation Data Set for Entity Linking Based on DBpedia, YAGO, Wikidata, and Crunchbase—0
KPT: Keyword-guided Pre-training for Grounded Dialog Generation—0
KSG: Knowledge and Skill Graph—0
KVQA: Knowledge-Aware Visual Question Answering—0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
Language Model-Guided Knowledge Subgraphs for Question Answering—0
Language Models sounds the Death Knell of Knowledge Graphs—0
Large Knowledge Model: Perspectives and Challenges—0
Large Language Models and Knowledge Graphs: Opportunities and Challenges—0
Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguation—0
Large Language Models as a Tool for Mining Object Knowledge—0
Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes—0
Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions—0
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions—0
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—0
LEAPME: Learning-based Property Matching with Embeddings—0
Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs—0
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph—0
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing—0
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction—0
Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning—0
Learning Deep Generative Models of Graphs—0
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes—0
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning—0
Learning From Graph-Structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learning—0
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference—0
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining—0
Learning Graph Representations—0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection—0
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding—0
Learning Knowledge Graph-based World Models of Textual Environments—0
Learning Knowledge Graphs for Question Answering through Conversational Dialog—0
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction—0
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge—0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement LearningCode0
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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