Timeline for What are graph embedding?
Current License: CC BY-SA 3.0
14 events
| when toggle format | what | by | license | comment | |
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| Aug 25, 2023 at 11:05 | answer | added | Sreejithc321 | timeline score: 0 | |
| Jan 24, 2019 at 9:49 | comment | added | Primoz | I wrote an article on the Medium which on what graph embeddings are. It also describes the four most used graph embedding approaches. | |
| Dec 28, 2018 at 23:56 | answer | added | Vivek | timeline score: 0 | |
| Oct 27, 2017 at 1:57 | answer | added | mausamsion | timeline score: 28 | |
| Oct 26, 2017 at 11:58 | history | edited | Kasra Manshaei |
Remove irrelevant Deep-Learning tag
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| Oct 26, 2017 at 4:44 | vote | accept | Volka | ||
| Oct 26, 2017 at 2:32 | answer | added | Brian Spiering | timeline score: 22 | |
| Oct 26, 2017 at 1:34 | comment | added | Kiritee Gak | Youtube video recommendation can be visualised as a model where video you are currently watching is the node you are on and the next videos that is in your recommendation are the ones that are most similar to you based on the what similar users have watched next and many more factors of course which is a huge network to traverse.This paper is a simple good read on understanding the application. | |
| Oct 26, 2017 at 1:25 | comment | added | Volka | @KiriteeGak Thanks :) What are their real world applications? They say they can be used for recommendation and all? but how? | |
| Oct 26, 2017 at 1:24 | history | edited | Volka | CC BY-SA 3.0 |
added 15 characters in body
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| Oct 26, 2017 at 0:58 | comment | added | Kiritee Gak | As meaning of the embed goes, fixing things onto something. Graph embedding is kind of like fixing vertices onto a surface and drawing edges to represent say a network. So example be like planar graph can be embedded on to a $2D$ surface without edge crossing. Weights can be assigned to edges and appropriate edge lengths viz. helps us to understand/estimate as @Emre mentioned similarity search etc. | |
| Oct 26, 2017 at 0:29 | comment | added | Volka | @Emre what does it meant by embedding? :) | |
| Oct 25, 2017 at 23:31 | comment | added | Emre | A graph embedding is an embedding for graphs! So it takes a graph and returns embeddings for the graph, edges, or vertices. Embeddings enable similarity search and generally facilitate machine learning by providing representations. | |
| Oct 25, 2017 at 22:54 | history | asked | Volka | CC BY-SA 3.0 |