Variational Graph Recurrent Neural Networks

Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian

Neural Information Processing Systems 

Our experiments with multiple real-world dynamic graph datasets demonstrate thatSI-VGRNN andVGRNN consistently outperform the existing baseline and state-of-the-art methods by a significant marginindynamiclinkprediction.

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