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.
We provide full details for evaluating locally. Please download the datasets and put under the folder src/data. Then pull the prepared docker nehzux/kddcup2020:v2 and run command
docker run --gpus=0 -it --rm -v "$(pwd):/app/autograph" -w /app/autograph nehzux/kddcup2020:v2
Go to the directory of run_local_test.py and run python run_local_test.py --dataset_dir=data/a --code_dir=code_submission/0_baseline for testing baseline on dataset a.
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 |
|---|---|---|
| a | Cora | MIT |
| b | CiteSeer | CC BY-NC-SA 3.0 |
| c | 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 |
| i | 4paradigm | CC BY-NC 4.0 |
| k | Amazon Photo | MIT |
| l | Coauthor CS | MIT |
| m | R8 | Copyright to Reuters Ltd |
| n | 4paradigm | CC BY-NC 4.0 |
| o | 4paradigm | CC BY-NC 4.0 |