Search "+Diversity -Paper +Paper/Gopalan2012community -Paper/Cheng2015 +Stochastic block model -Paper/Vincent2010 -MusicVAE -David Blei"

Positive matches

• 0.125 + - Innovation
• 0.078 + - Community detectability
• 0.033 + - Prem Gopalan
• 0.032 + - Block model
• 0.022 + - Seed set expansion
• 0.019 + - Bipartite community structure
• 0.018 + - Emmanuel Abbe
• 0.016 + - Overlapping community structure
• 0.016 + - Community structure
• 0.014 + - Local community detection
• 0.013 + - Edge-centric perspective
• 0.008 + - Affiliation graph model
• 0.008 + - Line graph
• 0.006 + - Community validation
• 0.005 + - Modularity
• 0.004 + - Clique percolation
• 0.004 + - Community
• 0.004 + - Sune Lehmann
• 0.003 + - Diffusion of innovations
• 0.003 + - Creative work

Negative matches

• 0.125 + - Deviant behavior
• 0.080 + - Autoencoder
• 0.064 + - Variational autoencoder
• 0.042 + - Markov Chain Monte Carlo
• 0.038 + - Generative adversarial networks
• 0.031 + - Generative adversarial network
• 0.028 + - Paper/Airoldi2008mmsbm
• 0.025 + - Cristian Danescu-Niculescu-Mizil
• 0.025 + - Justin Cheng
• 0.025 + - Jure Leskovec
• 0.025 + - Online behavior
• 0.019 + - Pascal Vincent
• 0.019 + - Hugo Larochelle
• 0.019 + - Isabelle Lajoie
• 0.019 + - Pierre-Antoine Manzagol
• 0.019 + - Yoshua Bengio
• 0.008 + - Variational Autoencoder
• 0.007 + - Deep learning
• 0.005 + - Artificial neural network
• 0.004 + - Theano