Related Issues (20)
- Dataset about the model "GraphBinaryClassificationTask"
- TF2-GNN and MLFlow
- Working with Edge Features HOT 4
- PYTHON=3.7, TENSORFLOW=2.1.0, AttributeError: Can't pickle local object 'DoubleBufferedIterator.__init__.<locals>.<lambda>' HOT 4
- Test data unavailable HOT 3
- TensorFlow version error HOT 4
- Error when attempting to run test installation script: tf2_gnn_train RGCN PPI --max-epochs 10 data/ppi/ HOT 2
- Error: Can't pickle generator HOT 7
- Encode-decoder on Geometric Graph Data?
- A question about DoubleBufferedIterator
- Performance issue in tf2_gnn/layers/message_passing/message_passing.py
- Performance issu in the definition of calculate_type_to_num_incoming_edges, tf2_gnn/layers/message_passing/message_passing.py(P1)) HOT 1
- Loading custom dataset and building the graph in batches HOT 5
- How to add a RGAT layer to a custom keras model? HOT 4
- export to onnx format?
- How to run for a generic dataset? HOT 1
- Can RGAT be implemented for a graph level multiclass-classification?
- There are a quite a few papers with the same acronym (rGAT, RGAT), and the documentation links RGAT to the (GAT paper). Which implementation of RGAT is it?
- Analytics Vidhya
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