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Hi, team! Thanks for your excellent work, although it is not open source.
I have a question about the “Convolutions on the Spatio-Temporal Graph” stage:
The message passing through **$G^{time}$** …
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Thank you for the datasets you have provided, but how to utilise these datasets, does this file just contain the node features?
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Hi, thank you for your nice work and for sharing the code.
The datasets used in expernments are based on grid structure with **Shape**: $\(N \times T \times H \times W\)$ , but in README (which say…
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## ❓ Questions & Help
Hi, I'm interested in learning over graphs that unroll through time via LSTM or other sequential learning mechanisms, like https://arxiv.org/pdf/1902.09130.pdf and https://a…
jmy48 updated
4 years ago
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Hello, the code of this paper is written in TF style. I know from the author's issue that you rewrote the code into pytorch style. Could you please send me the source code of pytorch code? Thank you v…
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Hello,
As we talked before about adding Spatio-Temporal GNN models to PyG. I suggest papers that I mentioned below for start. Please take a look at them.
1-[Structured Sequence Modeling with Gr…
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Here's a plan to enhance TxtAI with geospatial and temporal search capabilities:
**1. Extend indexing for geospatial data:**
- Use GeoPandas for geospatial data handling, as it integrates well …
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https://ccloud0525.github.io/en/Understanding%20and%20Simplifying/
It's an Personal blog about almost everything of me
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**Paper**: http://openaccess.thecvf.com/content_CVPR_2020/papers/Mohamed_Social-STGCNN_A_Social_Spatio-Temporal_Graph_Convolutional_Neural_Network_for_Human_CVPR_2020_paper.pdf
**Short summary**: …
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Could you please tell me how the Fig. 3 and Fig.4 in the paper "Spatio-Temporal Graph Convolution for
Functional MRI Analysis" were plotted? Thanks!