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Supervised Learning in Dynamic Streaming Graphs
With the emergence of networked data, graph classification has received considerable interest during the past years. Most approaches to graph classification focus on designing effective kernels to compute similarities for ...
Link Prediction in Dynamic Networks
Link Prediction in dynamic networks aims to model the patterns of relationship formation between any two agents in a multi-agent network for predicting the future links. We present three contributions to the state-of-the-art ...