Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Binary file added graph_convolutional_networks.pdf
Binary file not shown.
59 changes: 59 additions & 0 deletions literature.bib
Original file line number Diff line number Diff line change
@@ -0,0 +1,59 @@
@article{shuman2013emerging,
title={The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains},
author={Shuman, David I and Narang, Sunil K and Frossard, Pascal and Ortega, Antonio and Vandergheynst, Pierre},
journal={IEEE signal processing magazine},
volume={30},
number={3},
pages={83--98},
year={2013},
publisher={IEEE}
}

@article{bruna2013spectral,
title={Spectral networks and locally connected networks on graphs},
author={Bruna, Joan and Zaremba, Wojciech and Szlam, Arthur and LeCun, Yann},
journal={arXiv preprint arXiv:1312.6203},
year={2013}
}

@inproceedings{defferrard2016convolutional,
title={Convolutional neural networks on graphs with fast localized spectral filtering},
author={Defferrard, Micha{\"e}l and Bresson, Xavier and Vandergheynst, Pierre},
booktitle={Advances in neural information processing systems},
pages={3844--3852},
year={2016}
}

@article{micheli2009neural,
title={Neural network for graphs: A contextual constructive approach},
author={Micheli, Alessio},
journal={IEEE Transactions on Neural Networks},
volume={20},
number={3},
pages={498--511},
year={2009},
publisher={IEEE}
}

@inproceedings{gilmer2017neural,
title={Neural message passing for quantum chemistry},
author={Gilmer, Justin and Schoenholz, Samuel S and Riley, Patrick F and Vinyals, Oriol and Dahl, George E},
booktitle={Proceedings of the 34th International Conference on Machine Learning-Volume 70},
pages={1263--1272},
year={2017},
organization={JMLR. org}
}

@article{fey2019fast,
title={Fast graph representation learning with PyTorch Geometric},
author={Fey, Matthias and Lenssen, Jan Eric},
journal={arXiv preprint arXiv:1903.02428},
year={2019}
}

@article{hamilton2017representation,
title={Representation learning on graphs: Methods and applications},
author={Hamilton, William L and Ying, Rex and Leskovec, Jure},
journal={arXiv preprint arXiv:1709.05584},
year={2017}
}
Loading