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From [Algorithmic Simplicity](https://www.youtube.com/@algorithmicsimplicity):
- [x] [Why Does Diffusion Work Better than Auto-Regression? - YouTube](https://www.youtube.com/watch?v=zc5NTeJbk-k)
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### Description
We want StellarGraph to support representation learning on dynamic graphs beyond random walk-based approached.
### User Story
As a data scientist and StellarGraph user, I want to tr…
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https://arxiv.org/abs/1706.02216
> Low-dimensional embeddings of nodes in large graphs have proved extremely useful in a variety of prediction tasks, from content recommendation to identifying prot…
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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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## 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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## 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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SUGRL has shown impressive performance and speed. However, the paper Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning found that the representation space p…
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## Semantic Re-Tuning With Contrastive Tension(ICML2020)
以往的基于无监督的图对比学习算法都是在邻居节点设计正负例,本文利用Diffusion matrix提出了一种全局的视角(multi-view),用普通的GCN网络在很简单的任务上取得了SOTA。
### 信息
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- 主要作者:Kaveh Hassani, …
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DLP-KDD 2019
https://dlp-kdd.github.io/dlp-kdd2019/assets/pdf/a14-luo.pdf
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### 🚀 The feature, motivation and pitch
Paper: [Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text Attributed Graph Representation Learning](https://arxiv.org/pdf/2305.19523) (ICLR 20…