This repository holds code for ICML '17 paper: "Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs"
To get source code, run:
git clone https://github.gatech.edu/rtrivedi6/Know-Evolve.git
There are two steps required for complete installation:
- Install base graphnn library:
cd code/graphnn_base
Please follow the intallation instructions provided on Readme page. This is an obsolete and slightly modified version of graphnn library.
- Build Know-Evolve Code:
cd code/know_evolve
make
This would create a build directory. If you get any error, please check to see that paths in your Makefile are correct.
To run experiments on small sample dataset (500 entities):
cd code/know_evolve
./run_small.sh
To run experiments on full dataset (will require longer testing time):
cd code/know_evolve
./run_large.sh
You can change various hyper-parameters and try your own dataset using configurations in these files.
@InProceedings{trivedi2017knowevolve,
title = {Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs},
author = {Trivedi, Rakshit and Dai, Hanjun and Wang, Yichen and Song, Le},
booktitle = {Proceedings of the 34th International Conference on Machine Learning},
year = {2017}
}