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Hi,
I wanted to know how can I extract the graph embeddings from the trained model for a custom graph input?
Thanks!
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Hi,
I was wondering whether a couple of algorithms that are about learning metrics and embeddings would be within the scope.
Specifically, if the following two algorithms (either individually …
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Hello, I am the listener in NeuriPS who is interested in the application of HPA in scRNA-seq data. I tried to use the code here to process scRNA-seq data but got this error:
Could you please give m…
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See #7736 (a bug this will fix), #8453 (last pari upgrade).
See [http://wiki.sagemath.org/NewPARI](http://wiki.sagemath.org/NewPARI) for more information and links.
CC: @robertwb @loefflerd @John…
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Hyper Embeddings use hyperbolic space to embed graph structure and it's a natural choice for hierarchical structure. We could use ke_model to support Hyperbolic Embeddings.
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Hi,
In the manifolds.poincare.py, the square distance is defined as (line 26-32):
`
sqrt_c = c ** 0.5
dist_c = artanh(
sqrt_c * self.mobius_add(-p1, p2, c, dim=-1).norm(dim=-1…
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Hi, I'm quite interested in your work ''Low-Dimensional Hyperbolic Knowledge Graph Embeddings'' and tried to reproduce the experimental results strictly according to the _Best hyperparameters table_ y…
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Hi: Thanks for these beautiful illustrations.
The link on github pages is wrong, I assume it should jump to this source code repository, not the gallery page itself?
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Hello,
Thank you for the great work and making the implementation publicly available [1]. I do enjoy reading findings of your work. I was wondering whether you could share your opionon on the follo…