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DeepWalk: online learning of social representations
DeepWalk is an online learning algorithm which builds useful incremental results, and is trivially parallelizable, which make it suitable for a broad class of real world applications such as network classification, and anomaly detection. Expand
The algorithm design manual
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expand
Polyglot: Distributed Word Representations for Multilingual NLP
This work quantitatively demonstrates the utility of word embeddings by using them as the sole features for training a part of speech tagger for a subset of these languages and investigates the semantic features captured through the proximity of word groupings. Expand
Statistically Significant Detection of Linguistic Change
This meta-analysis approach constructs property time series of word usage, and then uses statistically sound change point detection algorithms to identify significant linguistic shifts. Expand
Virus Attenuation by Genome-Scale Changes in Codon Pair Bias
De novo large DNA molecules are synthesized using hundreds of over-or underrepresented synonymous codon pairs to encode the poliovirus capsid protein and polioviruses containing such amino acid–independent changes were attenuated in mice. Expand
Implementing discrete mathematics - combinatorics and graph theory with Mathematica
Permutations and Combinations Permutations Permutation Groups Inversions and Inversion Vectors Special Classes of Permutations Combinations Exercises and Research Problems * Partitions, Compositions,Expand
HARP: Hierarchical Representation Learning for Networks
HARP is a general meta-strategy to improve all of the state-of-the-art neural algorithms for embedding graphs, including DeepWalk, LINE, and Node2vec, and it is demonstrated that applying HARP's hierarchical paradigm yields improved implementations for all three of these methods. Expand
Syntax-Directed Variational Autoencoder for Structured Data
This work proposes a novel syntax-directed variational autoencoder (SD-VAE) by introducing stochastic lazy attributes, which demonstrates the effectiveness in incorporating syntactic and semantic constraints in discrete generative models, which is significantly better than current state-of-the-art approaches. Expand
Large-Scale Sentiment Analysis for News and Blogs (system demonstration)
A system that assigns scores indicating positive or negative opinion to each distinct entity in the text corpus, consisting of a sentiment identication phase, and a sentiment aggregation and scoring phase, which scores each entity relative to others in the same class. Expand
The Cell Cycle–Regulated Genes of Schizosaccharomyces pombe
Preliminary evidence is found for a nearly genome-wide oscillation in gene expression: 2,000 or more genes undergo slight oscillations in expression as a function of the cell cycle, although whether this is adaptive, or incidental to other events in the cell, such as chromatin condensation, the authors do not know. Expand