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Convolutional Neural Networks, Recurrent Neural Networks, and other deep learning approaches have achieved unprecedented performance on a broad range of problems (e.g. Computer Vision and Speech Recog…
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### Model Name
MolE molecular embeddings
### Model Description
MolE is a foundation model for chemistry developed by Recursion. It combines geometric deep learning with transformers, to learn a mea…
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Hello, Today prof. Michael Bronstein held a seminar, for those of you who missed it the recordings will be available here https://w3.di.uniroma1.it/en/node/7642 in the next few days. It was a very int…
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I was wondering if this package is based on the [geometric deep learning](https://geometricdeeplearning.com/) by Michael Bronstein et.al.? Can this package do the 5G(Grids,Graphs,Groups,Geodesics&Ga…
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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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Is it possible to add [Geometric Optimal Transport](http://conformalgeometry.org/lectures/2021/OT/), which was developed by Lei Na, Gu Xianfeng, and Shingtung Yau (邱成桐), into this library?
It has ap…
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Hello, if I just want to get the fingerprint descriptor, should I modify "MaSIF_site.py"?Corresponding to fig.1d MaSIF-geometric deep learning in the paper
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can we use deep learning or an ai model to return only good matches?
Yes, deep learning and AI models can be used to improve feature matching by learning more discriminative feature descriptors or …
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I love pytorch geometric, I've been getting nice results, and I'm really excited to see its widespread adoption. Currently writing a work that includes a couple torch geometric demos to highlight its …