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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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# 0. 論文情報・リンク
論文リンク:https://arxiv.org/abs/1805.12564
公開日時:Submitted on 31 May 2018
実装コード:
Publication : arxiv
# 1. どんなもの?
# 2. 先行研究と比べてどこがすごいの?
# 3. 技術や手法の"キモ"はどこにある?
# 4. どうやって有効だと検…
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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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This new paper might be relevant:
[SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss](https://arxiv.org/abs/2109.15044) by Konstanti…
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### Session description
[WebCodecs](WebCodecs) provides a low-level API to do encoding and decoding of video with control over settings on a per-frame basis. As a relatively young API it currently la…
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# 📚 Documentation
** Is there documentation missing? **
Hi!
Spatio-temporal Exact GP:
I am new to this library and I have been checking around on how to use a spatio-temporal GP.
I did not find…
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Notebooks are a great tool to help people walk through a demo of something step by step. The notebook provided has some prerequisites listed at the top that have to be manually figured out. It'd be gr…
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Opening this thread to drop in references that may prove useful in the project. Land use, land use modelling, scenario building, reinforcement learning...
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[Physics Informed Neural Networks by NVIDIA](https://docs.nvidia.com/deeplearning/modulus/user_guide/theory/recommended_practices.html#physics-informed-neural-networks) ... more generally, [Physics-In…