Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. Kumar, S., Zhang, X., & Leskovec, J. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, of KDD ’19, pages 1269–1278, New York, NY, USA, 2019. Association for Computing Machinery.
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks [link]Paper  doi  bibtex   4 downloads  
@inproceedings{10.1145/3292500.3330895,
author = {Kumar, Srijan and Zhang, Xikun and Leskovec, Jure},
title = {Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks},
year = {2019},
isbn = {9781450362016},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3292500.3330895},
doi = {10.1145/3292500.3330895},
booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining},
pages = {1269–1278},
numpages = {10},
keywords = {deep learning, embeddings},
location = {Anchorage, AK, USA},
series = {KDD ’19}
}

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