%0 Conference Paper %1 salha2019gravityinspired %A Salha, Guillaume %A Limnios, Stratis %A Hennequin, Romain %A Tran, Viet-Anh %A Vazirgiannis, Michalis %B Proceedings of the 28th ACM International Conference on Information and Knowledge Management %D 2019 %I ACM %K autoencoder deeplearning gnn graph learning link machine ml network neural prediction %R 10.1145/3357384.3358023 %T Gravity-Inspired Graph Autoencoders for Directed Link Prediction %U https://doi.org/10.1145%2F3357384.3358023

@inproceedings{salha2019gravityinspired, added-at = {2021-06-18T11:14:15.000+0200}, author = {Salha, Guillaume and Limnios, Stratis and Hennequin, Romain and Tran, Viet-Anh and Vazirgiannis, Michalis}, biburl = {https://www.bibsonomy.org/bibtex/29bf2b5e1df693230ee2281e1effcf77f/jaeschke}, booktitle = {Proceedings of the 28th {ACM} International Conference on Information and Knowledge Management}, description = {Gravity-Inspired Graph Autoencoders for Directed Link Prediction | Proceedings of the 28th ACM International Conference on Information and Knowledge Management}, doi = {10.1145/3357384.3358023}, interhash = {39aa556fd3b569cf3d1e30c820ea477a}, intrahash = {9bf2b5e1df693230ee2281e1effcf77f}, keywords = {autoencoder deeplearning gnn graph learning link machine ml network neural prediction}, month = nov, publisher = {ACM}, timestamp = {2021-06-18T11:14:15.000+0200}, title = {Gravity-Inspired Graph Autoencoders for Directed Link Prediction}, url = {https://doi.org/10.1145%2F3357384.3358023}, year = 2019 }