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Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
Recently, representation learning over graph networks has gained popularity, with various models showing promising results.
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
To overcome the few-shot challenge, we incorporate the encoder-predictor into the meta-learning paradigm, which can learn two types of implicit information during the formation of the temporal network through span adaptation and node adaptation.
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