node2vec: Scalable Feature Learning for Networks http://www.kdd.org/kdd2016/papers/files/Paper_218.pdf
Deepwalk: Online learning of social representations http://perozzi.net/publications/14_kdd_deepwalk.pdf
Discovering Structure in High-Dimensional Data Through Correlation Explanation http://papers.nips.cc/paper/5580-positive-curvature-and-hamiltonian-monte-carlo
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification. JMLR
http://www.public.asu.edu/~huanliu/papers/ijcai07.pdf https://users.cs.fiu.edu/~chens/PDF/WISE2015_Ha.pdf
Regularization for supervised learning via the “hubNet” procedure http://arxiv.org/pdf/1608.05465.pdf
A stochastic gradient method with an exponential convergence rate for finite training sets https://papers.nips.cc/paper/4633-a-stochastic-gradient-method-with-an-exponential-convergence-_rate-for-finite-training-sets.pdf
Accelerating stochastic gradient descent using predictive variance reduction https://papers.nips.cc/paper/4937-accelerating-stochastic-gradient-descent-using-predictive-variance-reduction.pdf
A large-scale evaluation of computational protein function prediction http://www.nature.com/nmeth/journal/v10/n3/full/nmeth.2340.html%3FWT.ec_id%3DNMETH-201303?message-global=remove&WT.ec_id=NMETH-201303H
A comparison of the functional modules identified from time course and static PPI network data https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-12-339
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791550/
Detection of gene communities in multi-networks reveals cancer drivers http://www.nature.com/articles/srep17386
The structure and dynamics of multilayer networks http://www.sciencedirect.com/science/article/pii/S0370157314002105