Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space-Reference-Cited by-同舟云学术

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Yang Menglin¹,Zhou Min²,Kalander Marcus³,Huang Zengfeng⁴,King Irwin¹

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong, Hong Kong

2. Noah's Ark Lab, Huawei Technologies, Shenzhen, China

3. Noah's Ark Lab, Huawei Technologies, Hong Kong, Hong Kong

4. Fudan University, Shanghai, China

Funder

The Chinese University of Hong Kong (CUHK)

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467422

Reference40 articles.

1. Evolutionary Network Analysis

2. Computing Medians and Means in Hadamard Spaces

3. Geometric Deep Learning: Going beyond Euclidean data

4. Ines Chami Zhitao Ying Christopher Ré and Jure Leskovec. 2019. Hyperbolic graph convolutional neural networks. In NeurIPS. 4868--4879. Ines Chami Zhitao Ying Christopher Ré and Jure Leskovec. 2019. Hyperbolic graph convolutional neural networks. In NeurIPS. 4868--4879.

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