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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 2201–2250 of 2974 papers

TitleStatusHype
KGAP: Knowledge Graph Augmented Political Perspective Detection in News MediaCode0
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs—0
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference—0
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation—0
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention TransformerCode0
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning—0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs—0
SemEval-2021 Task 8: MeasEval -- Extracting Counts and Measurements and their Related Contexts—0
Employing Argumentation Knowledge Graphs for Neural Argument GenerationCode0
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence MaximizationCode0
An Online Question Answering System based on Sub-graph Searching—0
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs—0
Towards Neural Schema Alignment for OpenStreetMap and Knowledge GraphsCode0
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning—0
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance—0
Guided Generation of Cause and Effect—0
Applications of knowledge graphs for food science and industry—0
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021—0
ProGS: Property Graph Shapes Language (Extended Version)Code0
Learning Concept Lengths Accelerates Concept Learning in ALCCode0
Similar Cases Recommendation using Legal Knowledge GraphsCode0
Rail Topology Ontology: A Rail Infrastructure Base Ontology—0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments—0
Rating and aspect-based opinion graph embeddings for explainable recommendations—0
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review—0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations—0
EchoEA: Echo Information between Entities and Relations for Entity AlignmentCode0
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking—0
Sangrahaka: A Tool for Annotating and Querying Knowledge GraphsCode0
Knowledge Modelling and Active Learning in Manufacturing—0
Trans4E: Link Prediction on Scholarly Knowledge Graphs—0
On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpediaCode0
Background Knowledge in Schema Matching: Strategy vs. DataCode0
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs—0
DRILL-- Deep Reinforcement Learning for Refinement Operators in ALC—0
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph—0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods—0
Pairing Conceptual Modeling with Machine Learning—0
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge GraphsCode0
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs—0
OKGIT: Open Knowledge Graph Link Prediction with Implicit TypesCode0
VOGUE: Answer Verbalization through Multi-Task LearningCode0
Pattern-based Visualization of Knowledge Graphs—0
Neural Concept Formation in Knowledge GraphsCode0
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
A Case Study in Bootstrapping Ontology Graphs from Textbooks—0
Do Language Models Perform Generalizable Commonsense Inference?Code0
Prompt Tuning or Fine-Tuning - Investigating Relational Knowledge in Pre-Trained Language ModelsCode0
Commonsense Reasoning with Implicit Knowledge in Natural Language—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