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Graph Theory

1375 directly classified papers

Papers per year

Papers

Contextual Stochastic Block Models NIPS 2018
KONG: Kernels for ordered-neighborhood graphs NIPS 2018
Counting Motifs with Graph Sampling COLT 2018
Experimental Design for Cost-Aware Learning of Causal Graphs NIPS 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
Sketching Method for Large Scale Combinatorial Inference NIPS 2018
Direct Estimation of Differences in Causal Graphs NIPS 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning NIPS 2018
Where Have You Been? Inferring Career Trajectory from Academic Social Network IJCAI 2018
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering IJCAI 2017
Classification of Time Sequences using Graphs of Temporal Constraints JMLR 2017
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions AISTATS 2017
Connected Subgraph Detection with Mirror Descent on SDPs ICML 2017
Reconstructing Undirected Graphs from Eigenspaces JMLR 2017
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields AISTATS 2017
Balancing information exposure in social networks NIPS 2017
Improved Graph Laplacian via Geometric Self-Consistency NIPS 2017
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables ICML 2017
Fast Network Embedding Enhancement via High Order Proximity Approximation IJCAI 2017
Learning Nonparametric Forest Graphical Models with Prior Information AISTATS 2017
Minimizing Trust Leaks for Robust Sybil Detection ICML 2017
Analysis and Optimization of Graph Decompositions by Lifted Multicuts ICML 2017
Bayesian inference on random simple graphs with power law degree distributions ICML 2017
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations ICML 2017
On the Troll-Trust Model for Edge Sign Prediction in Social Networks AISTATS 2017