Graph (abstract data type)

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

Graph Neural Networks, Session 2: Graph Definition

Types of Graphs Common data structures for storing graphs

From playlist Graph Neural Networks (Hands-on)

Lecture 1 Graphs Definition

A formal definition of a Graph and its properties

From playlist Graph Theory

How To Define A Graph

Mathematical theories start with axioms, but penultimate to that is the definition. When we go to learn, what's the best definition to commit to memory? Here we talk about Graph Theory and I give you 3 definitions to choose from. Which would you use?

From playlist Summer of Math Exposition 2 videos

The Definition of a Graph (Graph Theory)

The Definition of a Graph (Graph Theory) mathispower4u.com

From playlist Graph Theory (Discrete Math)

Data structures: Introduction to graphs

See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have described Graph data structure as a mathematical model. We have briefly described the concept of Graph and some of its applications. For practice

From playlist Data structures

Graph Theory FAQs: 01. More General Graph Definition

In video 02: Definition of a Graph, we defined a (simple) graph as a set of vertices together with a set of edges where the edges are 2-subsets of the vertex set. Notice that this definition does not allow for multiple edges or loops. In general on this channel, we have been discussing o

From playlist Graph Theory FAQs

Graph Theory: 02. Definition of a Graph

In this video we formally define what a graph is in Graph Theory and explain the concept with an example. In this introductory video, no previous knowledge of Graph Theory will be assumed. --An introduction to Graph Theory by Dr. Sarada Herke. This video is a remake of the "02. Definitio

From playlist Graph Theory part-1

Graph Neural Networks, Session 1: Introduction to Graphs

Examples of Graph representation of data Motivation for doing machine learning on Graphs

From playlist Graph Neural Networks (Hands-on)

Compilation - Part Three: Syntax Analysis

This is part three of a series of videos about compilation. Part three is about syntax analysis. It explains how the syntax analyser, otherwise known as the parser, takes a token stream from the lexical analyser, and checks it to make sure that the rules of the source language have been

From playlist Compilation

Live CEOing Ep 433: Language Design in Wolfram Language [Trees, PalindromeQ & More]

In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and functionality to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wo

From playlist Behind the Scenes in Real-Life Software Design

2.10 EXTRA: SPARQL Data Management and Algebra

From playlist Knowledge Engineering with Semantic Web Technologies by Dr. Harald Sack

Machine Learning Spark Tutorial | GraphX Spark Tutorial | Machine Learning Tutorial | Simplilearn

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=MachineLearningSparkTutorialAug23&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https

From playlist Big Data Hadoop Tutorial Videos | Simplilearn [2022 Updated]

Learning to Represent Programs with Graphs | TDLS

Toronto Deep Learning Series, 25 June 2018 For slides and more information, visit https://tdls.a-i.science/events/2018-06-25/ Paper Review: https://arxiv.org/abs/1711.00740 Speaker: https://www.linkedin.com/in/amirfz/ Organizer: https://www.linkedin.com/in/amirfz/ Host: http://www.rbc.

From playlist Graph Neural Networks

Nicole Schweikardt: Databases and descriptive complexity – lecture 1

Recording during the meeting "Spring school on Theoretical Computer Science (EPIT) - Databases, Logic and Automata " the April 11, 2019 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by wor

From playlist Numerical Analysis and Scientific Computing

Full Stack Development in the Era of Serverless Computing

Building your own real-world, secure & scalable GraphQL API is a lot of work. With AppSync, robust GraphQL APIs including schema, resolvers, and data sources are created & configured automatically and instantly through either the AWS Amplify CLI or the AppSync console, abstracting away muc

From playlist Serverless

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

RailsConf 2019 - New HotN+1ness -Hard lessons migrating from REST to GraphQL by Eric Allen

RailsConf 2019 - New HotN+1ness -Hard lessons migrating from REST to GraphQL by Eric Allen _______________________________________________________________________________________________ Cloud 66 - Pain Free Rails Deployments Cloud 66 for Rails acts like your in-house DevOps team to build,

From playlist RailsConf 2019

NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2...

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Graphlab 2: The Challenges of Large Scale Computation on Natural Graphs by Carlos Guestrin Carlos Guestrin is an Assistant Professor at Carnegie Mellon's Computer Science and Machine

From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop

Data Structures: List as abstract data type

See complete series of videos in data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&feature=view_all In this lesson, we will introduce a dynamic list structure as an abstract data type and then see one possible implementation of dynamic list using

From playlist Data structures