#Node2Vec - Twitter Hashtag

5 months ago

Yeni Yayın! ESCI indeksli INDECS dergisinde yayınlanan çalışmamızda, ağ yapıları için geliştirdiğimiz NANE (Node2vec Extension) modelini tanıttık. Y. Lisans öğrencim S. A. Ahmed’in tezinden çıkan bu makaleye linkten ulaşabilirsiniz: 🔗 https://t.co/bPZqLhEBWo #AI #ML #Node2vec

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Irving MA @moaimx

8 months ago

Hace frío, así que la compu arde: estamos procesando ~8 mil millones de triadas de la ontología de Wikidata para construir una red semántica de conceptos. Si funciona, será un gran impulso para la estructura de info de la Plataforma Nacional de Datos Abiertos #DataPower #Node2vec

moaimx's tweet photo. Hace frío, así que la compu arde: estamos procesando ~8 mil millones de triadas de la ontología de Wikidata para construir una red semántica de conceptos. Si funciona, será un gran impulso para la estructura de info de la Plataforma Nacional de Datos Abiertos #DataPower #Node2vec https://t.co/UyTJ4LPUv0

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Certified papers at TMLR @TmlrCert

9 months ago

New #ExpertCertification: Node Embeddings via Neighbor Embeddings Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak https://t.co/jGXaIE3Teg #embeddings #embedding #node2vec

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Colegio de Matemáticas Bourbaki

@ColegioBourbaki

about 1 year ago

¿Cómo utiliza Node2vec los grafos para detectar fraudes en sectores como la banca, fintech y el comercio electrónico? #DataScience #MachineLearning #AI #Math #BigData #Python #Analytics #CursosOnline #CursosAvanzados #Node2vec #Fraudes #Fintech

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Journal of Machine Learning Research @JmlrOrg

over 2 years ago

'Topological Node2vec: Enhanced Graph Embedding via Persistent Homology', by Yasuaki Hiraoka, Yusuke Imoto, Théo Lacombe, Killian Meehan, Toshiaki Yachimura. https://t.co/7xVeJ76akb #node2vec #embedding #regularization

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Journal of Machine Learning Research @JmlrOrg

about 3 years ago

'Asymptotics of Network Embeddings Learned via Subsampling', by Andrew Davison, Morgane Austern. https://t.co/tZqg0WSBda #embeddings #embedding #node2vec

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Memgraph @memgraphdb

almost 4 years ago

Check out our blog post 📰 Recommendation System Using Online #Node2Vec with Memgraph #MAGE ➡️ https://t.co/d0W4jjnbqQ #memgraph #graphdatabase

memgraphdb's tweet photo. Check out our blog post 📰 Recommendation System Using Online #Node2Vec with Memgraph #MAGE ➡️ https://t.co/d0W4jjnbqQ #memgraph #graphdatabase https://t.co/GjLPNoR7Jo

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Alex Mara @Druitter

about 4 years ago

Check out our new #EvalNE_GUI in this mini demo! It allows you to run any classical #embedding method such as #node2vec or any sota #gnn in just a few clicks!👇👇

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Federico Giorgi @giorgilab

about 4 years ago

#bits2022 Luca Cappelletti presenting a new Right Normalized Laplacian method to predict #PPIHC interactions #node2vec #string

giorgilab's tweet photo. #bits2022 Luca Cappelletti presenting a new Right Normalized Laplacian method to predict #PPIHC interactions #node2vec #string https://t.co/Qnq6fnoNpu

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rajdeep dua @rajdeepdua

over 4 years ago

Updated @adityagrover_'s implementation of Node2Vec to latest library versions, https://t.co/J7spJPNAoY networkx==2.8, numpy>=1.22.3 and gensim==4.2.0 , Python 3.9 compatible Fixed breaking changes in gensim: Pull request: https://t.co/3o7fV5Tx0E #nlp #node2vec #DeepLearning

rajdeepdua's tweet photo. Updated @adityagrover_'s implementation of Node2Vec to latest library versions, https://t.co/J7spJPNAoY networkx==2.8, numpy>=1.22.3 and
gensim==4.2.0 , Python 3.9 compatible
Fixed breaking changes in gensim: Pull request: https://t.co/3o7fV5Tx0E
#nlp #node2vec #DeepLearning https://t.co/Xals3FSdA1

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Marco Podda @poddaccio

over 4 years ago

This is just embarrassing for the whole graph learning community (including me who blindly used #Node2Vec before without evaluating proper baselines). We should do better than this. https://t.co/zlC4GfW9LD

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Memgraph MAGE @memgraphmage

almost 5 years ago

#node2vec might help you stay healthy as well ⚕️. How drugs interact with diseases, genes or other drugs can be expressed as a network. Embed it, predict new interactions and reduce drug development costs! #datascience

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Memgraph MAGE @memgraphmage

almost 5 years ago

Agraphkadabra! 🧙‍♂️ The time has come to show how powerful the #node2vec spell is. Imagine this being a social network, and connections being made if you had contact via private message. After embeddings are calculated and clustered (right), you see two communities (left). #ML

memgraphmage's tweet photo. Agraphkadabra! 🧙‍♂️

The time has come to show how powerful the #node2vec spell is. Imagine this being a social network, and connections being made if you had contact via private message. After embeddings are calculated and clustered (right), you see two communities (left).

#ML https://t.co/yYKFx3xIhK

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Memgraph MAGE @memgraphmage

almost 5 years ago

Randomly sampling nodes in a graph is of course, relevant for many graph algorithms, such include #node2vec, and #pagerank. Intuitively, the frequency of one node appearing in random walk samples means that node must be important (since random paths lead to it). #ML #graphs

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Memgraph MAGE @memgraphmage

almost 5 years ago

You've been patiently waiting for my secret. Time has come to discover it! Hyperparameters are powerful things made to customize the #node2vec algorithm. With parameters 'p' and 'q' you can customize whether you are searching for communities (top) or hubs (bottom). #ML #graphs

memgraphmage's tweet photo. You've been patiently waiting for my secret. Time has come to discover it! Hyperparameters are powerful things made to customize the #node2vec algorithm. With parameters 'p' and 'q' you can customize whether you are searching for communities (top) or hubs (bottom).

#ML #graphs https://t.co/TmrHueEuCI

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Memgraph MAGE @memgraphmage

almost 5 years ago

One Algorithm to rule them all, One Algorithm to bring them all, and in the vector space bind them. Powerful Algorithm with which you can find communities or hubs by binding nodes in vector space. Coming from professor @jure and his colleague @adityagrover_. #node2vec #stanford

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Manning Publications

@ManningBooks

about 5 years ago

An in-depth guide to understanding node2vec algorithm and its hyper-parameters. @tb_tomaz #machinelearning #graph #node2vec https://t.co/M73UozHubH

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Fabrizio Bustamante Escudero

@Fabriziobustama

about 5 years ago

Complete guide to understanding #Node2Vec algorithm. By @TDataScience #DataScience #MachineLearning #Bigdata #AI #Algorithms #IoT #5G #IIoT #Deeplearning #Python #NLP #RPA #Artificalintelligence #100DaysOfCode #blockchain #NeuralNetworks #Robotics https://t.co/Qx9Q4qcHGC

Fabriziobustama's tweet photo. Complete guide to understanding #Node2Vec algorithm.
By @TDataScience
#DataScience #MachineLearning #Bigdata #AI #Algorithms #IoT #5G #IIoT #Deeplearning #Python #NLP
#RPA #Artificalintelligence #100DaysOfCode #blockchain #NeuralNetworks #Robotics

https://t.co/Qx9Q4qcHGC https://t.co/K6YVEEKXxZ

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Gautier Marti @GautierMarti1

about 5 years ago

Dummy variables or embeddings? When would you prefer one or the other? Embeddings of Sectors and Industries using Graph Neural Networks https://t.co/pnaSGoq5DU #MachineLearning #Quant #Econometrics #Finance #node2vec #GNN

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Arjun Krishnan @compbiologist

over 5 years ago

Today at #GLBIO2021, @RemyLau3 is presenting his work published recently in @OUPBioinfo https://t.co/Wh5CSK4Yt2 on: PecanPy, a software for superfast #node2vec even on large, dense graphs https://t.co/i4YLuSbut8

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