Overview of algorithms in Graph Theory
An overview of the computer science algorithms in Graph Theory Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-theory-algorithms Previous video (intro): h
From playlist Graph Theory Playlist
Introduction to Graph Theory: A Computer Science Perspective
In this video, I introduce the field of graph theory. We first answer the important question of why someone should even care about studying graph theory through an application perspective. Afterwards, we introduce definitions and essential terminology in graph theory, followed by a discuss
From playlist Graph Theory
Intro to Graph Search Animation - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Breadth-first search, visualized | Graph Algorithm 1
Play with the visualization yourself, with random edges each time you refresh the page: https://jazonjiao.github.io/bfs/ Source code: https://github.com/JazonJiao/Manim.js/tree/master/Graph%20Algorithms BGM: Cjbeards - Dreams
From playlist Graph Algorithms
Introduction to tree algorithms | Graph Theory
An introduction to tree algorithms. This video covers how trees are stored and represented on a computer. Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-t
From playlist Tree Algorithms
Graph Theory: 04. Families of Graphs
This video describes some important families of graph in Graph Theory, including Complete Graphs, Bipartite Graphs, Paths and Cycles. --An introduction to Graph Theory by Dr. Sarada Herke. Links to the related videos: https://www.youtube.com/watch?v=S1Zwhz-MhCs (Graph Theory: 02. Definit
From playlist Graph Theory part-1
Graph Theory algorithms video series Support me by purchasing the full graph theory playlist on Udemy. This version offers additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-theory-algorithms Graph Theory video series playlist on YouTu
From playlist Graph Theory Playlist
Stanford Seminar - Graph Analysis of Russian Twitter Trolls Using Neo4j
EE380: Computer Systems Colloquium Seminar Graph Analysis of Russian Twitter Trolls Using Neo4j Speaker: William Lyon, Neo4j As part of the US House Intelligence Committee investigation into how Russia may have influenced the 2016 US election, Twitter released the screen names of nearly 3
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Lior Pachter: "Mystery and Genomics"
Computational Genomics Summer Institute 2017 Tutorial: "Mystery and Genomics" Lior Pachter, California Institute of Technology Institute for Pure and Applied Mathematics, UCLA July 10, 2017 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
From playlist Computational Genomics Summer Institute 2017
Introduction to Graph Analytics
According to industry analysts, graph technology will be foundational for 80% of Analytics and ML workloads by 2025. The reason for this explosion in growth is organizations are needing to ask more and more complex questions of their ever-growing data sets. Furthermore, data science profes
From playlist Ace Your Data Science Interview
Lec 17 | MIT 6.035 Computer Language Engineering, Fall 2005
Instruction Scheduling (cont.) View the complete course: http://ocw.mit.edu/6-035F05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.035 Computer Language Engineering, Fall 2005
5-Minute Interview with Dr Steven Skiena, Director of AI Institute, Stony Brook University
Graphs are a fundamental part of computer science, and they are only getting larger. Analyzing graphs using machine learning is powerful but requires translating them into numerical values. That’s where graph algorithms come in. In this week’s five-minute interview (conducted at GraphConn
From playlist Interviews
What do colors and galaxies have in common? [Research]
Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/leioslabs
From playlist research
Using Spark NLP to build a drug discovery knowledge graph for COVID-19 | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ In this talk, we will cover how to extract entities fro
From playlist NLP Summit 2020
Active human-machine interactions necessary for interpretability - Isaac Kohane, Harvard University
Medicine is driving many investigators from the machine learning community to the exciting opportunities presented by applying their methodological toolkits to improve patient care. They are inspired by the impressive successes in image analysis (e.g., in radiology, pathology and dermatolo
From playlist Interpretability, safety, and security in AI
Yoccoz Jean-Christophe "Le nombre de rotation et ses avatars"
Résumé Entre 1881 et 1886, Poincaré consacre une série de mémoires à la théorie qualitative des équations différentielles. Le chapitre XV du mémoire de 1885, consacré aux équations différentielles du premier ordre sur le tore de dimension 2, introduit le nombre de rotation, concept centra
From playlist Colloque Scientifique International Poincaré 100
Yusu Wang (10/28/22): Graph neural network: Representational power and limitations
Graph neural networks and (high order) variants provide a flexible and powerful framework for graph analysis. However, it is also known that GNNs have limitation in terms of representation power. At the same time, it is important to understand such limitations so as to use GNNs or variants
From playlist AATRN/STMS
Lecture 13 - Minimum Spanning Trees
This is Lecture 13 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture17.pdf
From playlist CSE373 - Analysis of Algorithms - 1997 SBU
Algorithms Course - Graph Theory Tutorial from a Google Engineer
This full course provides a complete introduction to Graph Theory algorithms in computer science. Knowledge of how to create and design excellent algorithms is an essential skill required in becoming a great programmer. You will learn how many important algorithms work. The algorithms are
From playlist Computer Science Concepts
Deep learning enables rapid identification of potent DDR1 kinase inhibitors | AISC
For slides and more information on the paper, visit https://aisc.ai.science/events/2019-10-23 Discussion lead: Alex Zhebrak Motivation: We have developed a deep generative model, generative tensorial reinforcement learning (GENTRL), for de novo small-molecule design. GENTRL optimizes
From playlist Machine Learning for Scientific Discovery