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hi
I am looking for tensorflow implementation of the Relational Graph Convolutional Network (RGCN), is this RGCN code for paper ?
thanks so much.
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### Deep Learning Simplified Repository (Proposing new issue)
⭐ **Detect PCOS using ML** :
⭐ **CNN Architecture to Detect PCOS from Ovarian Ultrasound Images and and Statistical Data** :
⭐ **Data…
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## 🚀 Feature
Multi-dimensional Graph Convolutional Networks
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
## Motivation
In many of the re…
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1. Non Euclidean Space data 중, Graph Handling 에 대한 전반적인 소개
2. 리뷰할 논문
- [Geometric Deep Learning: Going Beyond Euclidean Data](https://arxiv.org/pdf/1611.08097.pdf)
- [Revisiting Semi-Supervised L…
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Post your questions here about: “[Network Learning](https://docs.google.com/document/d/1hjXUvBRS779HDvbYXMKjyVbO3wVg6SaWNtxwof6s6LM/edit?usp=sharing)” & “Knowledge and Table Learning”, Thinking with D…
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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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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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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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### Description
### Expected behavior with the suggested feature
- [ ] [ContraRec: "Sequential Recommendation with Multiple Contrast Signals" Wang et al., TOIS'2022.](https://github.com/TH…