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47 papers

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Co-occurring keywords

stochastic block model (146) graph theory (249) graph neural network (3962) phase transition (92) bayesian inference (1907) community detection (276) spectral method (204) learning curve (34) sparse graph (27) gaussian process regression (133)

Papers

Maximum Likelihood Embedding of Logistic Random Dot Product Graphs AAAI 2020
GraSPy: Graph Statistics in Python JMLR 2019
Random Clique Covers for Graphs with Local Density and Global Sparsity UAI 2019
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019
Planting trees in graphs, and finding them back COLT 2019
Sparse Exchangeable Graphs and Their Limits via Graphon Processes JMLR 2018
A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation JMLR 2018
Rates of Convergence of Spectral Methods for Graphon Estimation ICML 2018
Bayesian inference on random simple graphs with power law degree distributions ICML 2017
Two-Sample Tests for Large Random Graphs Using Network Statistics COLT 2017
Edge-exchangeable graphs and sparsity NIPS 2016
Estimating the Size of a Large Network and its Communities from a Random Sample NIPS 2016
Computational Lower Bounds for Community Detection on Random Graphs COLT 2015
Exceptional Rotations of Random Graphs: A VC Theory JMLR 2015
Preferential Attachment in Graphs with Affinities AISTATS 2015
Random Bayesian networks with bounded indegree AISTATS 2014
Discovering Latent Network Structure in Point Process Data ICML 2014
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012
Exact learning curves for Gaussian process regression on large random graphs NIPS 2010
Matrix Completion from Power-Law Distributed Samples NIPS 2009
Kernels and learning curves for Gaussian process regression on random graphs NIPS 2009