Memory-Based Graph Networks
Graph neural networks (GNNs) are a class of deep models that operate on data with arbitrary topology represented as graphs. We introduce an efficient memory layer for GNNs that can jointly learn node representations and coarsen the graph... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Memory Network
|
Working Memory Models |