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

Showing 22012250 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 Graphs0
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference0
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation0
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention TransformerCode0
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs0
SemEval-2021 Task 8: MeasEval -- Extracting Counts and Measurements and their Related Contexts0
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 Searching0
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs0
Towards Neural Schema Alignment for OpenStreetMap and Knowledge GraphsCode0
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning0
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance0
Guided Generation of Cause and Effect0
Applications of knowledge graphs for food science and industry0
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 20210
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 Ontology0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments0
Rating and aspect-based opinion graph embeddings for explainable recommendations0
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations0
EchoEA: Echo Information between Entities and Relations for Entity AlignmentCode0
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking0
Sangrahaka: A Tool for Annotating and Querying Knowledge GraphsCode0
Knowledge Modelling and Active Learning in Manufacturing0
Trans4E: Link Prediction on Scholarly Knowledge Graphs0
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 Graphs0
DRILL-- Deep Reinforcement Learning for Refinement Operators in ALC0
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods0
Pairing Conceptual Modeling with Machine Learning0
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge GraphsCode0
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs0
OKGIT: Open Knowledge Graph Link Prediction with Implicit TypesCode0
VOGUE: Answer Verbalization through Multi-Task LearningCode0
Pattern-based Visualization of Knowledge Graphs0
Neural Concept Formation in Knowledge GraphsCode0
A Joint Training Framework for Open-World Knowledge Graph Embeddings0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction0
A Case Study in Bootstrapping Ontology Graphs from Textbooks0
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 Language0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34Unverified
2MKGformerMRR0.32Unverified
3MarT_FLAVAMRR0.29Unverified
4ViLBERTMRR0.29Unverified
5IKRL (ANALOGY)MRR0.28Unverified
6IKRLMRR0.27Unverified
7ViLTMRR0.26Unverified
8TransAEMRR0.22Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15Unverified
2Q*BERTSet accuracy32.78Unverified
3GATA-WSet accuracy24.06Unverified
4WorldformerSet accuracy23.22Unverified
5Seq2SeqSet accuracy14.29Unverified
6RulesSet accuracy4.7Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48Unverified
2ComplEx-ConcatTest MRR0.86Unverified
3ComplEx-RoBERTaTest MRR0.72Unverified
4TransE-RoBERTaTest MRR0.63Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59Unverified