Comments (1)
It can mean if there is an edge or not, or the edge can be one of several types. Should be explained in the paper.
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Related Issues (20)
- Questions regarding the edges that are created in the latent space
- For the type of edge in the experimental setup. HOT 1
- Request for Kuramoto dataset HOT 5
- Error in running the simulation HOT 1
- my_softmax HOT 3
- Is it possible to learn more than 2 edge-types in unsupervised manner? HOT 4
- Undirected latent graph
- Undirected latent graph
- How to reproduce some paper results
- Where can I find the code of Eq. 12 in the paper?? HOT 2
- Compatibility with Pytorch 1.xx ?
- Sport UV dataset HOT 4
- non-interaction edge type
- Error in class MLP def forward HOT 2
- About edge_accuracy() in utils.py HOT 2
- Unsupervised learning HOT 2
- what does mean logits shape?
- Results of charge experiment
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