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# AutoGraph

## Introduction
This is the official repo for hosting AutoGraph challenge datasets/code from KDD Cup 2020, targeting automated node classification task. To that end, we provide in this repo 13 datasets from public and private sources to fully evaluate the generalization ability of AutoML algorithms.
This is the official repo for hosting AutoGraph challenge datasets/code from KDD Cup 2020, targeting automated node classification task. To that end, we provide in this repo 14 datasets from public and private sources to fully evaluate the generalization ability of AutoML algorithms.

## Running locally

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## Dataset license:

We include 13 datasets in total here in this repository. 10 datasets come from public datasets and 3 come from 4paradigm. We conclude the licenses for each dataset below. If you find anything inappropriate and have any question regrading the license, please contact us by: xuzhen[AT]4paradigm[DOT]com
We include 14 datasets in total here in this repository. 10 datasets come from public datasets and 4 come from 4paradigm. We conclude the licenses for each dataset below. If you find anything inappropriate and have any question regrading the license, please contact us by: xuzhen[AT]4paradigm[DOT]com


| Dataset ID | Origin Source | License |
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| b | CiteSeer | CC BY-NC-SA 3.0 |
| c | Reddit | MIT |
| d | 20 Newsgroups | Credit to Ken Lang and Tom Mitchell |
| e | 4paradigm | CC BY-NC 4.0 |
| f | Amazon Computer | MIT |
| g | Coauthor Physics | MIT |
| h | ohsumed | CC BY-NC 4.0 |
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# References:
- [Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020](https://arxiv.org/abs/2204.02625)
- https://github.com/aister2020/KDDCUP_2020_AutoGraph_1st_Place
- https://github.com/Unkrible/AutoGraph2020
- https://github.com/white-bird/kdd2020_GCN
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