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A Data-Driven Graph Generative Model for Temporal Interaction Networks

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Could you please provide the SO dataset used in the Case Studies? Thanks a lot!

Hi, I managed to get your github code to work but can’t make sense of the output, I was wondering if you could explain how to convert the output sequences...

Does TagGen have the ability of forecasting the future timesteps (T+1,….T+n) of the temporal interaction network that you haven’t seen in the training (1..T) ?

Hi, I noticed that you use two embeddings 'role_level_emb' and 'node_level_emb' in the data loader. Actually, they are totally same. What's the purpose of these two embeddings?