[BOOK][B] Foundations of data science
A Blum, J Hopcroft, R Kannan - 2020 - books.google.com
This book provides an introduction to the mathematical and algorithmic foundations of data
science, including machine learning, high-dimensional geometry, and analysis of large …
science, including machine learning, high-dimensional geometry, and analysis of large …
Adversarial attacks on graph neural networks via node injections: A hierarchical reinforcement learning approach
Graph Neural Networks (GNN) offer the powerful approach to node classification in complex
networks across many domains including social media, E-commerce, and FinTech …
networks across many domains including social media, E-commerce, and FinTech …
Local spectral clustering for overlap** community detection
Large graphs arise in a number of contexts and understanding their structure and extracting
information from them is an important research area. Early algorithms for mining …
information from them is an important research area. Early algorithms for mining …
Local community detection based on higher-order structure and edge information
Local community detection is to discover local community where the seed is located. Most
algorithms extend local community by edge information, without considering high-order …
algorithms extend local community by edge information, without considering high-order …
Hidden community detection in social networks
This paper introduces a new graph-theoretical concept of hidden community for analysing
complex networks, which contain both stronger or dominant communities and weak …
complex networks, which contain both stronger or dominant communities and weak …
Ego-splitting framework: From non-overlap** to overlap** clusters
We propose ego-splitting, a new framework for detecting clusters in complex networks which
leverage the local structures known as ego-nets (ie the subgraph induced by the …
leverage the local structures known as ego-nets (ie the subgraph induced by the …
Optimizing generalized pagerank methods for seed-expansion community detection
Landing probabilities (LP) of random walks (RW) over graphs encode rich information
regarding graph topology. Generalized PageRanks (GPR), which represent weighted sums …
regarding graph topology. Generalized PageRanks (GPR), which represent weighted sums …
Megan: A generative adversarial network for multi-view network embedding
Local overlap** community detection
Local community detection refers to finding the community that contains the given node
based on local information, which becomes very meaningful when global information about …
based on local information, which becomes very meaningful when global information about …