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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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Could I talk to you about the article 《MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction》?
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1.PARE: Part Attention Regressor for 3D Human Body Estimation(2021)
img-->volumetric features(before the global average pooling)-->part branch: estimates attention weights +feature branch: performs S…
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#### Heterogeneous GNN
- [ ] Relational GCN (+ DistMult)
- [x] mini-batch learning (DGL)
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Read the papers in [Deep Learning’s Most Important Ideas](https://www.kdnuggets.com/2020/09/deep-learnings-most-important-ideas.html).
- [x] Tackling ImageNet with AlexNet and Dropout
- [x] [I…
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### 🚀 The feature, motivation and pitch
- Paper: XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers
- This paper introduces XENet, a new graph…
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https://arxiv.org/abs/1606.09375
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* [ ] 1. [Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets](https://www.mdpi.com/1424-8220/21/18/6070/htm)
* [ ] 2. [Hierarchical Graph Pooling wi…
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PGN with Jax implementation and NeurIPS 2020 paper____
├─Message-Passing Neural Network (MPNN) for Graph Convolutional Networks (GCNs)____
│ ├─■──"Applying Triplet Message Pas…