dmlc--dgl
74e13eea61
* fix gat code to use latest edge softmax module * avoid transpose * update README * use edge_softmax op * mxnet edge softmax op * mxnet gat * update README * fix unittest * fix ci * fix mxnet nn test; relax criteria for prod reducer
547 B
547 B
Graph Attention Networks (GAT)
- Paper link: https://arxiv.org/abs/1710.10903
- Author's code repo: https://github.com/PetarV-/GAT.
Note that the original code is implemented with Tensorflow for the paper.
Dependencies
- MXNet nightly build
- requests
pip install mxnet --pre
pip install requests
Usage (make sure that DGLBACKEND is changed into mxnet)
DGLBACKEND=mxnet python3 train.py --dataset cora --gpu 0 --num-heads 8