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2018

DynamicGEM: A Library for Dynamic Graph Embedding Methods

Goyal, Palash, Chhetri, Sujit Rokka, Mehrabi, Ninareh et al.

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DynamicGEM is an open-source Python library for learning node representations of dynamic graphs.

It consists of state-of-the-art algorithms for defining embeddings of nodes whose connections evolve over time.
The library also contains the evaluation framework for four downstream tasks on the network: graph reconstruction, static and temporal link prediction, node classification, and temporal visualization.
We have implemented various metrics to evaluate the state-of-the-art methods, and examples of evolving networks from various domains.

DynamicGEM: A Library for Dynamic Graph Embedding Methods · Around

Built on

Stochastic blockmodels for directed graphs
Yuchung J Wang and George Y Wong · 1987
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Fast low-rank modifications of the thin singular value decomposition
Matthew Brand · 2006
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