DeepWalk: online learning of social representations
- Bryan Perozzi, Rami Al-Rfou, S. Skiena
- Computer ScienceKnowledge Discovery and Data Mining
- 26 March 2014
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.
Polyglot: Distributed Word Representations for Multilingual NLP
- Rami Al-Rfou, Bryan Perozzi, S. Skiena
- Computer ScienceConference on Computational Natural Language…
- 5 July 2013
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.
Statistically Significant Detection of Linguistic Change
- Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi, S. Skiena
- Computer ScienceThe Web Conference
- 12 November 2014
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.
Virus Attenuation by Genome-Scale Changes in Codon Pair Bias
- J. R. Coleman, D. Papamichail, S. Skiena, B. Futcher, E. Wimmer, S. Mueller
- 27 June 2008
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.
HARP: Hierarchical Representation Learning for Networks
- Haochen Chen, Bryan Perozzi, Yifan Hu, S. Skiena
- Computer ScienceAAAI Conference on Artificial Intelligence
- 23 June 2017
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.
The Algorithm Design Manual
- S. Skiena
- Computer ScienceTexts in Computer Science
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.
Implementing discrete mathematics - combinatorics and graph theory with Mathematica
- S. Skiena
Permutations and Combinations Permutations Permutation Groups Inversions and Inversion Vectors Special Classes of Permutations Combinations Exercises and Research Problems * Partitions, Compositions,…
Syntax-Directed Variational Autoencoder for Structured Data
- H. Dai, Yingtao Tian, Bo Dai, S. Skiena, Le Song
- Computer ScienceInternational Conference on Learning…
- 15 February 2018
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.
Lowest common ancestors in trees and directed acyclic graphs
Reduction of the Rate of Poliovirus Protein Synthesis through Large-Scale Codon Deoptimization Causes Attenuation of Viral Virulence by Lowering Specific Infectivity
- S. Mueller, D. Papamichail, J. R. Coleman, S. Skiena, E. Wimmer
- BiologyJournal of Virology
- 1 October 2006
Direct analysis indicated a striking reduction of the specific infectivity of PV-AB-type virus particles, suggesting that codon-deoptimized viruses should have genetically stable phenotypes, and they may prove suitable as attenuated substrates for the production of poliovirus vaccines.