Computational advantage of quantum random sampling
Quantum random sampling is the leading proposal for demonstrating a computational
advantage of quantum computers over classical computers. Recently the first large-scale …
advantage of quantum computers over classical computers. Recently the first large-scale …
A survey of community detection approaches: From statistical modeling to deep learning
Community detection, a fundamental task for network analysis, aims to partition a network
into multiple sub-structures to help reveal their latent functions. Community detection has …
into multiple sub-structures to help reveal their latent functions. Community detection has …
The future is big graphs: a community view on graph processing systems
The future is big graphs: a community view on graph processing systems Page 1 62
COMMUNICATIONS OF THE ACM | SEPTEMBER 2021 | VOL. 64 | NO. 9 contributed articles …
COMMUNICATIONS OF THE ACM | SEPTEMBER 2021 | VOL. 64 | NO. 9 contributed articles …
Data Mining The Text Book
C 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 …
Foundations of modern query languages for graph databases
We survey foundational features underlying modern graph query languages. We first
discuss two popular graph data models: edge-labelled graphs, where nodes are connected …
discuss two popular graph data models: edge-labelled graphs, where nodes are connected …
Clustering and community detection in directed networks: A survey
Networks (or graphs) appear as dominant structures in diverse domains, including
sociology, biology, neuroscience and computer science. In most of the aforementioned …
sociology, biology, neuroscience and computer science. In most of the aforementioned …
[KSIĄŻKA][B] The data matching process
P Christen, P Christen - 2012 - Springer
This chapter provides an overview of the data matching process, and describes the five
major steps involved in this process: data pre-processing (cleaning and standardisation) …
major steps involved in this process: data pre-processing (cleaning and standardisation) …
Adversarial attacks and defenses on graphs
Adversarial Attacks and Defenses on Graphs Page 1 Adversarial Attacks and Defenses on
Graphs: A Review, A Tool and Empirical Studies Wei **†, Yaxin Li†, Han Xu†, Yiqi Wang† …
Graphs: A Review, A Tool and Empirical Studies Wei **†, Yaxin Li†, Han Xu†, Yiqi Wang† …
Sisa: Set-centric instruction set architecture for graph mining on processing-in-memory systems
Simple graph algorithms such as PageRank have been the target of numerous hardware
accelerators. Yet, there also exist much more complex graph mining algorithms for problems …
accelerators. Yet, there also exist much more complex graph mining algorithms for problems …
[KSIĄŻKA][B] An introduction to social network data analytics
CC Aggarwal - 2011 - Springer
The advent of online social networks has been one of the most exciting events in this
decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have …
decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have …