Graph Models
Neural network for graphs
NN4G is based on a constructive feedforward architecture with state variables that uses neurons with no feedback connections. The neurons are applied to the input graphs by a general traversal process that relaxes the constraints of previous approaches derived by the causality assumption over hierarchical input data.
Description from: Neural network for graphs: a contextual constructive approach
Papers
| Paper | Code | Results | Date | Stars |
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Usage Over Time
Components
| Component | Type |
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
