SNAP: Stanford Network Analysis Project

Time 2020-07-04 09:04:18

Web Name: SNAP: Stanford Network Analysis Project

WebSite: http://snap.stanford.edu

ID:18636

Keywords:

Stanford,SNAP,Network,

Description:

We are inviting applications for open postdoctoral positions in Network Analytics and Machine Learning and Knowledge Graphs and Natural Language Processing. Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. SNAP is also available through the NodeXL which is a graphical front-end that integrates network analysis into Microsoft Office and Excel.Snap.py: SNAP for Python Snap.py is a Python interface for SNAP. It provides performance benefits of SNAP, combined with flexibility of Python. Most of the SNAP C++ functionality is available via Snap.py in Python.Stanford Large Network Dataset Collection A collection of more than 50 large network datasets from tens of thousands of nodes and edges to tens of millions of nodes and edges. In includes social networks, web graphs, road networks, internet networks, citation networks, collaboration networks, and communication networks.Recent Events We gave a tutorial on Deep Learning for Network Biology at the annual international conference on Intelligent Systems for Molecular Biology (ISMB) in Chicago, on July 6, 2018. We gave a tutorial on Representation Learning on Networks at The Web Conference in Lyon, France, on April 24, 2018. We organized Wiki Workshop at The Web Conference in Lyon, France, on April 24, 2018.Publications Papers on the structure and evolution of large networks, models to think about them and algorithms to computationally analyze the network structure.Tutorials Tutorials on using SNAP, on methods to analyze large network data, on ways how to think about networks and how to model them at the level of network structure, and on methods to study evolution and dynamics of diffusion and cascading behavior in networks. Tutorial on Deep Learning for Network Biology was held at the annual international conference on Intelligent Systems for Molecular Biology (ISMB) in Chicago, on July 6, 2018. Tutorial on Representation Learning on Networks was held at The Web Conference in Lyon, France, on April 24, 2018. More info. Tutorial on Malicious Behavior on the Web: Characterization and Detection was held at WWW2017 conference, Perth, Australia, April 3, 2017. More info. Tutorial on Large Scale Network Analytics with SNAP was held at WWW-15 conference, Florence, Italy, May 18, 2015. More info. Tutorial on Large Scale Network Analytics with SNAP was held at ICWSM-14 conference, June 2014. More info.

TAGS:Stanford SNAP Network 

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