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TianyuDu authored Dec 6, 2022
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# ROLAND: Graph Learning Framework for Dynamic Graphs
This repository contains implementations for the ROLAND paper.
This repository contains implementations for the ROLAND paper. This repository is a version of [GraphGym](https://github.com/snap-stanford/GraphGym) modified for the ROLAND paper to include our new model implementation.

## Replication Materials
### Accessing Datasets
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We have provided MD5 values of datasets at `public_dataset_MD5.txt` for you to verify the correctness of downloaded datasets.

### Run Experiments in the Paper
`./run/roland_publication`
The script `./run/replicate_roland_tables.sh` runs experiments of all tables in the paper.

## Getting Table Representation of Experiment Results
We first upload logs to the TensorBoard Dev following tutorial [here](https://www.tensorflow.org/tensorboard/dataframe_api). This would allow you to obtain a `experiment_id`.
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