network analysis

Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Sparse Popularity Adjusted Stochastic Block Model JMLR 2021 Statistical guarantees for local graph clustering JMLR 2021 The diffusion of scientific terms – tracing individuals’ influence in the history of science for English EMNLP 2021 Universal Graph Convolutional Networks NeurIPS 2021 Vitality Indices are Equivalent to Induced Game-Theoretic Centralities IJCAI 2021 Active Community Detection with Maximal Expected Model Change AISTATS 2020 Adaptive Shrinkage Estimation for Streaming Graphs NeurIPS 2020 A Game Theoretic Approach For Core Resilience IJCAI 2020 A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis IJCAI 2020 Change Point Estimation in a Dynamic Stochastic Block Model JMLR 2020 Community detection using fast low-cardinality semidefinite programming NeurIPS 2020 Generalized Nonbacktracking Bounds on the Influence JMLR 2020 Learning Dynamic Context Graph Embedding ACML 2020 Learning Strategic Network Emergence Games NeurIPS 2020 MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection AAAI 2020 Node Embeddings and Exact Low-Rank Representations of Complex Networks NeurIPS 2020 On the Power of Louvain in the Stochastic Block Model NeurIPS 2020 Spectral Algorithms for Community Detection in Directed Networks JMLR 2020 TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020 True Nonlinear Dynamics from Incomplete Networks AAAI 2020 Universal Latent Space Model Fitting for Large Networks with Edge Covariates JMLR 2020 Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo EMNLP 2020 Well-Structured Committees IJCAI 2020 A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019