Citation graph

Google Docs

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Google Docs

intro to graph databases

this a brief high-level overview of graph databases using only an ipad. in this video we discuss what a graph database is and how it differs from relational databases. this also looks at high level use cases.

From playlist graph databases

Google Docs: Adding Citations & Bibliography

When writing a paper or report in Google Docs, it's possible to cite your sources and create a bibliography. Google Docs provides two different ways to create and add citations automatically. Using the Citations and Explore tools, you can also format your sources according to the style gu

From playlist Google Docs

Excel

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Microsoft Excel

Quick guide for adding citations to any Wikipedia article!

Check out the full tutorial here: https://youtu.be/lrMigpB-D-Y Find me on Twitter: https://twitter.com/ProfASwan

From playlist Wikipedia Education Dashboard Tutorials

Scientometrics analysis through CiteSpace 5: Timeline & cluster view

In this video, I demonstrate hot to use CiteSpace to perform a document co-citation analysis, which is a Scientometrics analysis technique. The concepts briefly discussed include document co-citation analysis, author co-citation analysis, journal co-citation analysis, temporal metrics, str

From playlist Scientometrics & Bibliometrics

Adding Citations to Wikipedia Articles

This short video describes how you can add citations to Wikipedia articles. This is an educational video for my students and other individuals attempting to edit articles. I claim no ownership over Wikipedia content or their processes/procedures.

From playlist Wikipedia Education Dashboard Tutorials

Google Sheets

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Google Sheets

Citation networks as a window to science: a case study by Remco van der Hofstad

PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear

From playlist Advances in Applied Probability 2019

CSE 373 -- Lecture 10, Fall 2020

From playlist CSE 373 -- Fall 2020

Stefania Ebli (8/29/21): Simplicial Neural Networks

In this talk I will present simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes. These are natural multi-dimensional extensions of graphs that encode not only pairwise relationships but

From playlist Beyond TDA - Persistent functions and its applications in data sciences, 2021

PatentNet: Search for the Next Best Invention with Confidence

want to create apps like this? see more details at: https://ai.science Each year, hundreds of thousands of patents are granted by patent offices in the US and Canada. With such a high-volume of incoming inventions, law firms and innovative companies constantly require experts on patent fi

From playlist Community Projects

1. Using Associative Arrays

RES.LL-005 D4M: Signal Processing on Databases, Fall 2012 View the complete course: http://ocw.mit.edu/RESLL-005F12 Instructor: Jeremy Kepner Creating an exploded database schema. Standard database processing chain. Graph adjacency matrix. Vertex degree distribution. Directed graphs, mu

From playlist MIT D4M: Signal Processing on Databases, Fall 2012

A Web-scale system for scientific knowledge exploration | AISC

Discussion Lead: Ramya Balasubramaniam Facilitators: Ehsan Amjadian , Karim Khayrat For more details including paper and slides, visit https://aisc.a-i.science/events/2019-05-02/

From playlist Machine Learning for Scientific Discovery

Exploring a Giant Legal Citation Network with Mathematica

To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Seth Chandler Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and

From playlist Wolfram Technology Conference 2018

SQL

This is CS50

From playlist CS50 Sections 2015

Scientometrics analysis 2: An introduction

In this video, I provide an introduction to Scientometrics analysis. The concepts briefly discussed include document co-citation analysis, author co-citation analysis, journal co-citation analysis, temporal metrics, structural metrics, the average silhouette score, Modularity Q, Betweennes

From playlist Scientometrics & Bibliometrics

Graph Convolutional Networks

Learn how Graph Convolutional Networks bridge Deep Learning and Graph Data for Node Classification! Paper Link: https://tkipf.github.io/graph-convolutional-networks/ Thanks for watching, Please Subscribe!

From playlist Deep Learning on Graphs

How to count citations if you must

Distinguished Visitor Lecture Series How to count citations if you must Philip J. Reny The University of Chicago, USA

From playlist Distinguished Visitors Lecture Series

Graph Data Structure 1. Terminology and Representation (algorithms)

This is the first in a series of videos about the graph data structure. It mentions the applications of graphs, defines various terminology associated with graphs, and describes how a graph can be represented programmatically by means of adjacency lists or an adjacency matrix.

From playlist Data Structures