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Thank you very much for your work. Can you provide visualization code?
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# Inductive Representation Learning on Large Graphs #
- Author: William L. Hamilton, Rex Ying, Jure Leskovec
- Origin: https://arxiv.org/abs/1706.02216
- Related:
- website: http://snap.stanfo…
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# Unsupervised Representation Learning by Sorting Sequences #
- Author: Hsin-Ying Lee, Jia-Bin Huang, Maneesh Kumar Singh, Ming-Hsuan Yang
- Origin: http://vllab.ucmerced.edu/hylee/OPN/
- Related…
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Sources from Jules on Learning Blender, Context
1. Homoncular Flexibility: https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcc4.12107, to give context and a start for discussing working with virtu…
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I'm a big fun of Applied Predictive Modeling and writing a book entirely on feature engineering & selection is an excellent opportunity to focus on a key activity of of the end-to-end process. I find …
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This feature predicts the performance of players and teams in upcoming matches using historical data. By leveraging machine learning algorithms, it provides insights into expected outcomes and helps i…
sv410 updated
1 month ago
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## General Information
Author: William L. Hamilton, Rex Ying, and Jure Leskovec
Published: 2017
## Why and What
### Key word
Inductive learning is learning from the specific data and reasoning …
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## Author
William L. Hamilton, Rex Ying, and Jure Leskovec
## Published
2017, IEEE
## Introduction
伝統的なembeddingの手法は，ヒューリスティックに特徴を作成し，それを保存するような手法をとっていたが，特徴の作成は難しく，グラフに大きく依存してしまう．
近年は，自動的にグラ…
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### Links
- Paper : https://arxiv.org/abs/1711.00937
### 한 줄 요약
- VAE의 continuous latent variable 대신 discrete latent variable을 사용하는 VQ-VAE 제안
- Discretisation 과정에 vector quantisation (VQ)을 적용함으로…
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In the paper, the authors highlight that using contrastive learning can carry more precious environmental information, and the t-SNE visualization indicates the stronger representation ability of thi…