Machine Learning, Graph, TensorFlow, Algorithms, Data Science.
is a simpler network with fewer read heads (1 vs 5), smaller memory state (64 elements vs 128) and no LSTM cell We suspect this architecture more readily scales to larger graphs since we parallelize the graph-exploration (e.g. a DNC requires more memory, read heads and runtime to deal with larger