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Thank you for your great work. I'm a researched in medical image registration, and would like to ask if you can provide the GPU implementation of corrField, called "MST" in the original paper.
I've…
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Motif search for heterogeneous networks - especially temporal heterogeneous networks - has fundamental scalability challenges. [Neural Subgraph Matching](https://arxiv.org/abs/2007.03092) proposes a t…
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Embedding Guile Scheme
M
gnu guile snarf
Edit
I'm afraid I don't have enough context to fully understand your query "gnu guile snarf". However, let me provide some potentially relevant informatio…
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[ttps://cloud.google.com/blog/products/ai-machine-learning/rags-powered-by-google-search-technology-part-1](https://cloud.google.com/blog/products/ai-machine-learning/rags-powered-by-google-search-tec…
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Many thanks for releasing the code. I have some questions regarding the GraphVAE.
- It seems that the encoder is not using the graph neural network, the GCN layers are commented at lines 113-118 of…
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### Model description
The SuperGlue network is a Graph Neural Network combined with an Optimal Matching layer that is trained to perform matching on two sets of sparse image features.
SuperGlue is …
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@cbattista Sir, I was trying to examine the relationship between the cost function (error) and no. of runs. The graph is given below -- learning rate of the gradient descent used is 0.1 :
![image]…
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Feel free to put your feature requests that require some research here (take a look to the below list to see what I mean):
- [ ] Research Neural Machine Translation to match different architectures…
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Hi:
Thank you for your great work!
Now I'm trying to run your code on a unfeatured, undirected graph with a feature vector generated from Deepwalk. But the performance is really poor. I'm wonder…
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# 概要
embedding関係の総論的なディスカッションスペース
今後の調査方針なども含めて議論しましょう。