Comments (2)
from gae.
Thank you for your reply. Thank you very very much!!!! I'll try it.
And I wonder if there is no model that can save parameters and process new input Graphs yet? Like Cnn
from gae.
Related Issues (20)
- How could I get the output graph? HOT 1
- invoice or id card structure prediction
- Can GAE work in inductive setting? HOT 1
- Graph embedding vs Node embedding
- Does it work with Tensorflow 2 and Python 3? HOT 3
- Enforcing Sparsity
- Use continuous feature values HOT 1
- A question about negative samples generation in preprocessing.py HOT 4
- How can I reproduce the experiment using only the adjacency matrix without node features? HOT 2
- Potential Problem about the KL term? HOT 1
- About reduce links of the graph.
- KL divergence loss
- Descriptions of x, tx, allx?
- About Dataset Splits
- No such file or directory: 'data/ind.cora.x'
- Experiment with the weighted adjacency matrix
- Issues in preprocessing.py (not 100% sure)
- How to visualize the latent space?
- How to use GAE to generate nodes embeddings
- Problems I encountered in the train.py program HOT 1
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from gae.