An Introduction to Variational Methods for Graphical Models
Machine Learning
The Journal of Machine Learning Research
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A latent mixed membership model for relational data
Proceedings of the 3rd international workshop on Link discovery
Learning systems of concepts with an infinite relational model
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Joint group and topic discovery from relations and text
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
Expectation-propagation for the generative aspect model
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A generalized mean field algorithm for variational inference in exponential families
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Community evolution in dynamic multi-mode networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 18th international conference on World wide web
Dynamic mixed membership blockmodel for evolving networks
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Relational learning via latent social dimensions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-HDP: a non parametric Bayesian model for tensor factorization
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
Journal of the ACM (JACM)
Community Detection on Weighted Networks: A Variational Bayesian Method
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
A Survey of Statistical Network Models
Foundations and Trends® in Machine Learning
Statistical inference on attributed random graphs: Fusion of graph features and content
Computational Statistics & Data Analysis
Bayesian block modelling for weighted networks
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Community evolution detection in dynamic heterogeneous information networks
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Modeling relational events via latent classes
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Topic models conditioned on relations
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Mixed-membership naive Bayes models
Data Mining and Knowledge Discovery
Modeling reciprocity in social interactions with probabilistic latent space models
Natural Language Engineering
Network sampling and classification: An investigation of network model representations
Decision Support Systems
Community Discovery via Metagraph Factorization
ACM Transactions on Knowledge Discovery from Data (TKDD)
MPI/OpenMP hybrid parallel inference for Latent Dirichlet Allocation
Proceedings of the Third Workshop on Large Scale Data Mining: Theory and Applications
User reputation in a comment rating environment
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Active learning for node classification in assortative and disassortative networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Kernels for link prediction with latent feature models
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Leveraging social media networks for classification
Data Mining and Knowledge Discovery
Group Profiling for Understanding Social Structures
ACM Transactions on Intelligent Systems and Technology (TIST)
Learning multiple models for exploiting predictive heterogeneity in recommender systems
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
A generalized stochastic block model for recommendation in social rating networks
Proceedings of the fifth ACM conference on Recommender systems
Improving user interest inference from social neighbors
Proceedings of the 20th ACM international conference on Information and knowledge management
Community detection based on a semantic network
Knowledge-Based Systems
Quadratic nonnegative matrix factorization
Pattern Recognition
Learning partial ordinal class memberships with kernel-based proportional odds models
Computational Statistics & Data Analysis
Relation strength-aware clustering of heterogeneous information networks with incomplete attributes
Proceedings of the VLDB Endowment
Reference classes and relational learning
International Journal of Approximate Reasoning
Document hierarchies from text and links
Proceedings of the 21st international conference on World Wide Web
Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce
Proceedings of the 21st international conference on World Wide Web
Link prediction via latent factor BlockModel
Proceedings of the 21st international conference companion on World Wide Web
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Community detection via heterogeneous interaction analysis
Data Mining and Knowledge Discovery
Finding overlapping communities in social networks: toward a rigorous approach
Proceedings of the 13th ACM Conference on Electronic Commerce
Modeling the dynamics of social networks using Bayesian hierarchical blockmodels
Statistical Analysis and Data Mining
Improving performance of topic models by variable grouping
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Increasing the scalability of the fitting of generalised block models for social networks
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Generalized latent factor models for social network analysis
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning personal + social latent factor model for social recommendation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Review of statistical network analysis: models, algorithms, and software
Statistical Analysis and Data Mining
Neural Computation
Social-network analysis using topic models
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Multiple location profiling for users and relationships from social network and content
Proceedings of the VLDB Endowment
Variational Bayesian inference for the Latent Position Cluster Model for network data
Computational Statistics & Data Analysis
Mining from protein–protein interactions
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Intent-aware temporal query modeling for keyword suggestion
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Evaluating joint modeling of yeast biology literature and protein-protein interaction networks
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Computational Statistics & Data Analysis
Improved Bayesian inference for the stochastic block model with application to large networks
Computational Statistics & Data Analysis
Cascade-based community detection
Proceedings of the sixth ACM international conference on Web search and data mining
Group sparse topical coding: from code to topic
Proceedings of the sixth ACM international conference on Web search and data mining
Collective inference for network data with copula latent markov networks
Proceedings of the sixth ACM international conference on Web search and data mining
Human interaction discovery in smartphone proximity networks
Personal and Ubiquitous Computing
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Extracting Celebrities from Online Discussions
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Community evolution detection in time-evolving information networks
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Latent factor blockmodel for modelling relational data
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Incorporating popularity in topic models for social network analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Homophily, popularity and randomness: modelling growth of online social network
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Modeling the dynamics of composite social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Scalable text and link analysis with mixed-topic link models
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 22nd international conference on World Wide Web
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
On the utility of abstraction in labeling actors in social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Stochastic agent-based simulations of social networks
Proceedings of the 46th Annual Simulation Symposium
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on ACM SIGKDD 2012
Latent feature learning in social media network
Proceedings of the 21st ACM international conference on Multimedia
MedLDA: maximum margin supervised topic models
The Journal of Machine Learning Research
An agent-based model of the development of friendship links within Facebook
Computational & Mathematical Organization Theory
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Modeling and detecting community hierarchies
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
Efficient distributed monitoring with active Collaborative Prediction
Future Generation Computer Systems
Learning community-based preferences via dirichlet process mixtures of Gaussian processes
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Proceedings of the 7th ACM international conference on Web search and data mining
Detecting cohesive and 2-mode communities indirected and undirected networks
Proceedings of the 7th ACM international conference on Web search and data mining
Discovering social circles in ego networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
User behavior learning and transfer in composite social networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
The learning system of collective behavior in students' social network
Computers and Electrical Engineering
Social factors that contribute to attrition in MOOCs
Proceedings of the first ACM conference on Learning @ scale conference
Attributed graph models: modeling network structure with correlated attributes
Proceedings of the 23rd international conference on World wide web
CoBaFi: collaborative bayesian filtering
Proceedings of the 23rd international conference on World wide web
Roles in social networks: Methodologies and research issues
Web Intelligence and Agent Systems
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Consider data consisting of pairwise measurements, such as presence or absence of links between pairs of objects. These data arise, for instance, in the analysis of protein interactions and gene regulatory networks, collections of author-recipient email, and social networks. Analyzing pairwise measurements with probabilistic models requires special assumptions, since the usual independence or exchangeability assumptions no longer hold. Here we introduce a class of variance allocation models for pairwise measurements: mixed membership stochastic blockmodels. These models combine global parameters that instantiate dense patches of connectivity (blockmodel) with local parameters that instantiate node-specific variability in the connections (mixed membership). We develop a general variational inference algorithm for fast approximate posterior inference. We demonstrate the advantages of mixed membership stochastic blockmodels with applications to social networks and protein interaction networks.