A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks
Authors
Keywords
-
Journal
Electronics
Volume 9, Issue 5, Pages 750
Publisher
MDPI AG
Online
2020-05-04
DOI
10.3390/electronics9050750
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- End-to-End Automatic Image Annotation Based on Deep CNN and Multi-Label Data Augmentation
- (2019) Xiao Ke et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings
- (2019) Yuanfei Dai et al. KNOWLEDGE-BASED SYSTEMS
- SemaTyP: a knowledge graph based literature mining method for drug discovery
- (2018) Shengtian Sang et al. BMC BIOINFORMATICS
- A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
- (2018) HongYun Cai et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- SSE: Semantically Smooth Embedding for Knowledge Graphs
- (2017) Shu Guo et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Knowledge Graph Embedding: A Survey of Approaches and Applications
- (2017) Quan Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Sparse Multigraph Embedding for Multimodal Feature Representation
- (2017) Shiping Wang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Large-scale structural and textual similarity-based mining of knowledge graph to predict drug–drug interactions
- (2017) Ibrahim Abdelaziz et al. Journal of Web Semantics
- Robust co-clustering via dual local learning and high-order matrix factorization
- (2017) Shiping Wang et al. KNOWLEDGE-BASED SYSTEMS
- Building knowledge base of urban emergency events based on crowdsourcing of social media
- (2016) Zheng Xu et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Transfer learning using computational intelligence: A survey
- (2015) Jie Lu et al. KNOWLEDGE-BASED SYSTEMS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Wikidata
- (2014) Denny Vrandečić et al. COMMUNICATIONS OF THE ACM
- Survey on distance metric learning and dimensionality reduction in data mining
- (2014) Fei Wang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- A semantic matching energy function for learning with multi-relational data
- (2013) Antoine Bordes et al. MACHINE LEARNING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started