Topic 64: Network Analysis 57


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Stanford Large Network Dataset Collection Jure Leskovec 2014
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Decision Networks and Value of Perfect Information Dan Klein and Pieter Abbeel 2014
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Dynamic and random graph models of structure Aaron Clauset 2014
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Seq2Seq-Vis IBM Research 2018
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NetworkX Benjamin Edwards, Dan Schult, Aric Hagberg, Jordi Torrents, Loïc Séguin-Charbonneau 2016
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python-igraph Tamás Nepusz, Gábor Csárdi 2005
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SyncPy Python Library Giovanna Varni, Mohamed Chetouani 2016
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node2vec: Scalable Feature Learning for Networks Jure Leskovec 2016
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Snap.py - SNAP for Python Jure Leskovec 2016
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Gephi: The Open Graph Viz Platform Bastian M., Heymann S., Jacomy M. 2008
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Keras-GAN Erick Lindernoren 2018
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A library for working with graphs in Python Pedro Matiello 2016
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Capsule Network Daniel Havir 2018
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Title (link) Author Date Votes Error
Human Decisions and Machine Predictions Jure Leskovec 2017
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Large Graph Mining: Power Tools and a Practitioner’s guide; Intro Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Fanfiction, Graphs, and PageRank Christopher Olah 2014
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Learning Representations of Large-Scale Networks Jian Tang, Cheng Li, Qiaozhu Mei 2017
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Large Graph Mining: Power Tools and a Practitioner’s guide;Task 1: Node importance Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Where Will Your Country Stand in World War III? Annalyn Ng 2016
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The local geometry of graphs, or, how to “read” large graphs Nati Linial 2017
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Large Graph Mining: Power Tools and a Practitioner's guide; Task 2: Community Detection Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Label propagation on graphs Leonid E. Zhukov 2015
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 3: Recommendations & proximity Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Recent Trends in Network Science Hiroki Sayama 2016
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 4: Center-piece Subgraphs Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 5: Graphs over time & tensors Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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First steps with networkx glowingpython 2012
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 6: Virus/Influence Propagation Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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NetworkX: Network Analysis with Python Petko Georgiev 2014
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Modeling Sequential Data with Neural Networks Chris Dyer 2018
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Betweenness Centrality glowingpython 2012
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Large Graph Mining: Power Tools and a Practitioner’s guide; Theory Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Network methods for NLP Noah Amsel 2018
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Representation Learning with Networks Jure Leskovec 2017
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Sequence Modeling with Neural Networks Harini Suresh 2018
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 8: hadoop and Tera/Peta byte graphs Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Community Detection in Networks Jure Leskovec 2017
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Two Lessons I have recently learned (1) Parallel Decoding of a Sequence (2) Meta-Learning Kyunghyun Cho 1180
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Four ways to compute the Google Pagerank glowingpython 2012
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Large Graph Mining: Power Tools and a Practitioner’s guide; Conclusion Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Networks and Optimization Jure Leskovec 2017
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Is there a simple explanation of the Louvain Method of community detection? Shankar Iyer 2015
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