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paper.bib
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@article{roweis2000nonlinear,
title={Nonlinear dimensionality reduction by locally linear embedding},
author={Roweis, Sam T and Saul, Lawrence K},
journal={Science},
doi={10.1126/science.290.5500.2323},
volume={290},
number={5500},
pages={2323--2326},
year={2000},
publisher={American Association for the Advancement of Science}
}
@inproceedings{belkin2003laplacian,
title={Laplacian eigenmaps for dimensionality reduction and data representation},
author={Belkin, Mikhail and Niyogi, Partha},
booktitle={Neural Computation},
doi={10.1162/089976603321780317},
pages={1373--1396},
year={2003}
}
@inproceedings{ahmed2013distributed,
title={Distributed large-scale natural graph factorization},
author={Ahmed, Amr and Shervashidze, Nino and Narayanamurthy, Shravan and Josifovski, Vanja and Smola, Alexander J},
booktitle={Proceedings of the 22nd International Conference on World Wide Web},
doi={10.1145/2488388.2488393},
pages={37--48},
year={2013},
organization={ACM}
}
@inproceedings{ou2016asymmetric,
title={Asymmetric transitivity preserving graph embedding},
author={Ou, Mingdong and Cui, Peng and Pei, Jian and Zhang, Ziwei and Zhu, Wenwu},
booktitle={Proceedings of the 22nd {ACM SIGKDD} International Conference on Knowledge Discovery and Data Mining},
doi={10.1145/2939672.2939751},
pages={1105--1114},
year={2016},
organization={ACM}
}
@inproceedings{wang2016structural,
title={Structural deep network embedding},
author={Wang, Daixin and Cui, Peng and Zhu, Wenwu},
booktitle={Proceedings of the 22nd {ACM SIGKDD} International Conference on Knowledge Discovery and Data Mining},
doi={10.1145/2939672.2939753},
pages={1225--1234},
year={2016},
organization={ACM}
}
@inproceedings{grover2016node2vec,
title={node2vec: Scalable feature learning for networks},
author={Grover, Aditya and Leskovec, Jure},
booktitle={Proceedings of the 22nd {ACM SIGKDD} International Conference on Knowledge Discovery and Data Mining},
doi={10.1145/2939672.2939754},
pages={855--864},
year={2016},
organization={ACM}
}
@inproceedings{lyu2017enhancing,
title={Enhancing the network embedding quality with structural similarity},
author={Lyu, Tianshu and Zhang, Yuan and Zhang, Yan},
booktitle={Proceedings of the 2017 {ACM} on Conference on Information and Knowledge Management},
doi={10.1145/3132847.3132900},
pages={147--156},
year={2017},
organization={ACM}
}
@article{salehi2017properties,
title={Properties of Vector Embeddings in Social Networks},
author={Salehi Rizi, Fatemeh and Granitzer, Michael and Ziegler, Konstantin},
journal={Algorithms},
doi={10.3390/a10040109},
volume={10},
number={4},
pages={109},
year={2017},
publisher={Multidisciplinary Digital Publishing Institute}
}
@article{goyal2017graph,
title={Graph embedding techniques, applications, and performance: A survey},
journal={Knowledge-Based Systems},
year={2018},
issn={0950-7051},
doi={10.1016/j.knosys.2018.03.022},
author={Goyal, Palash and Ferrara, Emilio}
}