News
- 1/2017 - "Ties That Bind: Characterizing Classes by Attributes and Social Ties" accepted at WWW'17 (Web Science Track).
- 05/2016 - Defended "Local Modeling of Attributed Graphs: Algorithms and Applications"!
- 05/2016 - "When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks" accepted at KDD'16.
- 05/2016 - "Scalable anomaly ranking of attributed neighborhoods" awarded Best Paper Runner-up at SDM'16!
- 05/2015 - "Freshman or Fresher? Quantifying the Geographic Variation of Internet Language" accepted at ICWSM'16.
- 01/2016 - "Scalable Anomaly Ranking of Attributed Neighborhoods" accepted at SDM'16.
About Me
I am a Research Scientist, working at the intersection of data mining, machine learning, graph theory, and network science. I am particularly interested in local graph algorithms.
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Research Interests
- Data mining
- Graph Mining
- Graph theory
- Distributed algorithms
- Natural language processing
- Machine learning
Selected Publications
My complete publication list can be found here.- Scalable Anomaly Ranking of Attributed Neighborhoods
Bryan Perozzi, Leman Akoglu
2016 SIAM International Conference on Data Mining (SDM '16)
[pdf] [bibtex] [project page] [software]
(SDM'16 Best Paper Runner-up!) - Statistically Significant Detection of Linguistic Change
Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi, Steven Skiena
24th International World Wide Web Conference (WWW '15)
[pdf] [bibtex] [project page] [software]
(full paper acceptance rate: 14.1%) - DeepWalk: Online Learning of Social Representations
Bryan Perozzi, Rami Al-Rfou, Steven Skiena
20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '14)
[pdf] [slides] [bibtex] [project page] [software]
(full paper acceptance rate: 14.6%) - Focused Clustering and Outlier Detection in Large Attributed Graphs
Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sánchez, Emmanuel Müller
20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '14)
[pdf] [slides] [bibtex] [project page] [software]
(full paper acceptance rate: 14.6%)
Honors & Awards
- 2015 - Catacosinos Fellowship for Excellence in Computer Science
(Awarded to the top PhD students in the department) - 2014 - Junior Researcher Fellowship from the Institute for Advanced Computational Science (IACS) at Stony Brook University
Press & Social Media Reception
Various articles and comments on my work, from around the web:News
- Vice:
Super Storm Sandy and Candy Crush Have Changed the English Language
- ACM Technews:
Linguistic Mapping Reveals How Word Meanings Sometimes Change Overnight
- MIT Technology Review:
Linguistic Mapping Reveals How Word Meanings Sometimes Change Overnight
-
The New KDD
-- highlights DeepWalk as an 'inspirational idea'.
Projects
- DeepWalk uses deep learning techniques to learn representations of graphs for semi-supervised learning problems. [project page] [paper]
- Focused Clustering examines user-oriented clustering and anomaly detection in attributed graphs. [project page] [paper]
- Inducing Language Networks is a project where we investigate making meaningful language networks from distributed word representations. [project page] [paper]
- Polyglot is a publicly available repository of word embeddings for over 100 languages. [project page] [paper]