A comprehensive overview of knowledge graph completion
T Shen, F Zhang, J Cheng - Knowledge-Based Systems, 2022 - Elsevier
Abstract Knowledge Graph (KG) provides high-quality structured knowledge for various
downstream knowledge-aware tasks (such as recommendation and intelligent question …
downstream knowledge-aware tasks (such as recommendation and intelligent question …
Social network analysis: An overview
S Tabassum, FSF Pereira… - … Reviews: Data Mining …, 2018 - Wiley Online Library
Social network analysis (SNA) is a core pursuit of analyzing social networks today. In
addition to the usual statistical techniques of data analysis, these networks are investigated …
addition to the usual statistical techniques of data analysis, these networks are investigated …
Continuous-time dynamic network embeddings
Networks evolve continuously over time with the addition, deletion, and changing of links
and nodes. Although many networks contain this type of temporal information, the majority of …
and nodes. Although many networks contain this type of temporal information, the majority of …
Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising
The Gaussian mechanism is an essential building block used in multitude of differentially
private data analysis algorithms. In this paper we revisit the Gaussian mechanism and show …
private data analysis algorithms. In this paper we revisit the Gaussian mechanism and show …
[图书][B] Data mining: the textbook
CC Aggarwal - 2015 - Springer
This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …
complex data types and their applications, capturing the wide diversity of problem domains …
Pagraph: Scaling gnn training on large graphs via computation-aware caching
Emerging graph neural networks (GNNs) have extended the successes of deep learning
techniques against datasets like images and texts to more complex graph-structured data …
techniques against datasets like images and texts to more complex graph-structured data …
[图书][B] Introduction to random graphs
A Frieze, M Karoński - 2015 - books.google.com
From social networks such as Facebook, the World Wide Web and the Internet, to the
complex interactions between proteins in the cells of our bodies, we constantly face the …
complex interactions between proteins in the cells of our bodies, we constantly face the …
Computer‐assisted synthetic planning: the end of the beginning
S Szymkuć, EP Gajewska, T Klucznik… - Angewandte Chemie …, 2016 - Wiley Online Library
Exactly half a century has passed since the launch of the first documented research project
(1965 Dendral) on computer‐assisted organic synthesis. Many more programs were created …
(1965 Dendral) on computer‐assisted organic synthesis. Many more programs were created …
Gemini: A {Computation-Centric} distributed graph processing system
Traditionally distributed graph processing systems have largely focused on scalability
through the optimizations of inter-node communication and load balance. However, they …
through the optimizations of inter-node communication and load balance. However, they …