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Learning Network Representation Through Reinforcement Learning

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IEEE ICASSP 2020 Virtual Conference May 2020

Network Representation Learning embeds each node in a network into a low-dimensional real-value vector which can be used for downstream tasks such as link prediction and recommendation. Many existing approaches use unsupervised or (semi-)supervised method

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Learning Network Representation Through Reinforcement Learning

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Network Representation Learning embeds each node in a network into a low-dimensional real-value vector which can be used for downstream tasks such as link prediction and recommendation. Many existing approaches use unsupervised or (semi-)supervised method