Topological graph theory | Graph minor theory | Knot theory

Linkless embedding

In topological graph theory, a mathematical discipline, a linkless embedding of an undirected graph is an embedding of the graph into three-dimensional Euclidean space in such a way that no two cycles of the graph are linked. A flat embedding is an embedding with the property that every cycle is the boundary of a topological disk whose interior is disjoint from the graph. A linklessly embeddable graph is a graph that has a linkless or flat embedding; these graphs form a three-dimensional analogue of the planar graphs. Complementarily, an intrinsically linked graph is a graph that does not have a linkless embedding. Flat embeddings are automatically linkless, but not vice versa. The complete graph K6, the Petersen graph, and the other five graphs in the Petersen family do not have linkless embeddings. Every graph minor of a linklessly embeddable graph is again linklessly embeddable, as is every graph that can be reached from a linklessly embeddable graph by a Y-Δ transform. The linklessly embeddable graphs have the Petersen family graphs as their forbidden minors, and include the planar graphs and apex graphs. They may be recognized, and a flat embedding may be constructed for them, in O(n2). (Wikipedia).

Linkless embedding
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Graph Neural Networks, Session 6: DeepWalk and Node2Vec

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From playlist Graph Neural Networks (Hands-on)

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Word Embeddings

Word embeddings are one of the coolest things you can do with Machine Learning right now. Try the web app: https://embeddings.macheads101.com Word2vec paper: https://arxiv.org/abs/1301.3781 GloVe paper: https://nlp.stanford.edu/pubs/glove.pdf GloVe webpage: https://nlp.stanford.edu/proje

From playlist Machine Learning

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Lecture13. Graph Embeddings

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From playlist Network Science, 2021

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Adding Connections on LinkedIn

In this video, you’ll learn how to add connections on LinkedIn. Visit https://edu.gcfglobal.org/en/linkedin/adding-connections-on-linkedin/1/ for our text-based lesson. We hope you enjoy!

From playlist LinkedIn

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First look at Knowledge Graph Embedding (w/ simple Jupyter NB dgl-ke)

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From playlist Learn Graph Neural Networks: code, examples and theory

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HTML Links

In this video, you’ll learn about how links function in HTML. We hope you enjoy! To learn more, check out our Basic HTML tutorial here: https://edu.gcfglobal.org/en/basic-html/ #html #links #coding

From playlist HTML

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Rasa Algorithm Whiteboard - Understanding Word Embeddings 1: Just Letters

We're making a few videos that highlight word embeddings. Before training word embeddings we figured it might help the intuition if we first trained some letter embeddings. It might suprise you but the idea with an embedding can also be demonstrated with letters as opposed to words. We're

From playlist Algorithm Whiteboard

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WebAssembly: The What, Why and How

WebAssembly is a portable, size, and load-time efficient binary format for the web. It is an emerging standard being developed in the WebAssembly community group, and supported by multiple browser vendors. This talk details what WebAssembly is, the problems it is trying to solve, exciting

From playlist Talks

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Linked List in Java | Java Linked Explained | Data Structures Implementation | Edureka

🔥 Java, J2EE & SOA Certification Training - https://www.edureka.co/java-j2ee-training-course This Edureka video will provide you with detailed knowledge about Linked Lists in Java and along with it, This video will also cover some examples of Linked Lists in Java, in order to provide you w

From playlist Java Tutorial For Beginners | Edureka

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Jasna Urbančič (11/03/21):Optimizing Embedding using Persistence

Title: Optimizing Embedding using Persistence Abstract: We look to optimize Takens-type embeddings of a time series using persistent (co)homology. Such an embedding carries information about the topology and geometry of the dynamics of the time series. Assuming that the input time series

From playlist AATRN 2021

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Data Structures in Java | Stack, Queue, LinkedList, Tree in Data Structures | Edureka

** Java Certification Training: https://www.edureka.co/java-j2ee-training-course ** This Edureka video on “Data Structures in Java” will talk about Stack, Queue, LinkedList, Tree in Data Structures with examples. Following are the topics covered in this video: What is Data Structure? Wha

From playlist Java Tutorial For Beginners | Edureka

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Lecture 26 | Programming Abstractions (Stanford)

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From playlist Lecture Collection | Programming Abstractions

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Leetcode Short [C | Vim] - Problem 141: Linked List Cycle

[ SURPRISE: This one is done in C instead of Rust because Leetcode does not supply a Rust template for this problem. They must have had issues with the borrow-checker... ] I'm working my way through the "Grind 75" Leetcode problems, as a sort of warmup to Advent of Code coming in December

From playlist Leetcode

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Doubly Linked List Code

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From playlist Data structures playlist

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Digital Marketing Course | Digital Marketing Tutorial For Beginners | Digital Marketing |Simplilearn

🔥Digital Marketing Specialist Program (Discount Code - YTBE15): https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=DigitalMarketing-kpgerCE095A&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In Digital Marketing

From playlist Digital Marketing Playlist [2023 Updated]🔥 | Digital Marketing Course | Digital Marketing Tutorial For Beginners | Simplilearn

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Lecture 21 | Programming Abstractions (Stanford)

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From playlist Lecture Collection | Programming Abstractions

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The Insane Engineering of the A-10 Warthog

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From playlist Military

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Lecture 4 - Elementary Data Structures

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From playlist CSE373 - Analysis of Algorithms 2016 SBU

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Anna Wienhard (7/29/22): Graph Embeddings in Symmetric Spaces

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From playlist Applied Geometry for Data Sciences 2022

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Lecture 5 - Dictionaries

This is Lecture 5 of the CSE373 (Analysis of Algorithms) course taught by Professor Steven Skiena [http://www3.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: https://www.cs.stonybrook.edu/~skiena/373/newlectures/lecture5.pdf More infor

From playlist CSE373 - Analysis of Algorithms 2016 SBU

Related pages

Whitehead link | Topological graph theory | Closure (mathematics) | Invariant (mathematics) | Planar graph | 3-manifold | Topology | Linking number | Knot (mathematics) | Disjoint sets | Combinatorica | Transversality (mathematics) | Colin de Verdière graph invariant | Dynamic programming | Outerplanar graph | Link (knot theory) | Algebraic graph theory | Injective function | Graph theory | Graph minor | Complete bipartite graph | Line segment | Rhombic dodecahedron | Journal of Graph Theory | Modular arithmetic | Complete graph | Cycle (graph theory) | Hadwiger conjecture (graph theory) | Cubic graph | Euclidean space | Piecewise linear function | Forbidden graph characterization | NP (complexity) | Petersen family | Independent set (graph theory) | Treewidth | Fáry's theorem | Chromatic number | Petersen graph | Unknotting problem | Crown graph | Y-Δ transform | Graph embedding | Apex graph | Edge coloring | Algorithm | Circle | Disk (mathematics) | Crossing number (graph theory) | Robertson–Seymour theorem