https://github.com/egpivo/ml-research-review
https://github.com/egpivo/ml-research-review
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/egpivo/ml-research-review
- Owner: egpivo
- Created: 2021-01-02T08:25:54.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-03-05T12:23:20.000Z (over 2 years ago)
- Last Synced: 2025-02-14T12:49:03.632Z (4 months ago)
- Language: Jupyter Notebook
- Size: 19.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Recsys
|Year| Title | Author |Remark|
| :--- | :----: | :---:| :---:|
|2014| [DeepWalk: Online Learning of Social Representations](https://arxiv.org/pdf/1403.6652.pdf) | Perozzi & Al-Rfou & Skiena |[code](https://github.com/phanein/deepwalk)|
|2016| [Item2vec: Neural Item Embedding for Collaborative Filtering](https://arxiv.org/pdf/1603.04259.pdf) | Barkan & Koenigstein ||
|2016| [node2vec: Scalable Feature Learning for Networks](https://arxiv.org/pdf/1607.00653.pdf) | [Grover](https://aditya-grover.github.io/) & [Leskovec](https://cs.stanford.edu/people/jure/) |[code](https://github.com/aditya-grover/node2vec)|
|2017| [Semi-Supervised Classification with Graph Convolution Networks](https://arxiv.org/pdf/1609.02907.pdf) |Kipf & Welling||
|2018| [Inductive Representation Learning on Large Graphs](https://arxiv.org/pdf/1706.02216.pdf) | Hamilton & Ying & [Leskovec](https://cs.stanford.edu/people/jure/) ||
|2019| [Deep Learning based Recommender System: A Survey and New Perspectives](https://arxiv.org/pdf/1707.07435.pdf) | Zhang, et al ||
|2020| [Large Scale Product Graph Construction for Recommendation in E-commerce](https://arxiv.org/pdf/2010.05525.pdf) | Yang et.al ||
|2021| [RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms](https://arxiv.org/pdf/2011.01731.pdf) | Zhao et.al ||
## ML Review
|Year| Title | Author |Remark|
| :--- | :----: | :---:| :---:|
|2010| [Active Learning Literature Survey](https://burrsettles.com/pub/settles.activelearning.pdf) | Burr Settles ||
|2019| [Survey on deep learning with class imbalance](https://link.springer.com/content/pdf/10.1186/s40537-019-0192-5.pdf) | Johnson & Khoshgoftarr ||