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I met some problem when I try to run your train.py, after I successfully process the QM9 smiles as your code,I use the code _python train.py_ or _python train.py --data_path data/QM9/QM9_processed.p …
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Thank you for your exciting work!
I've got a question on the perforamance comparison in Table 3 after reading your paper:
For Amazon, the performance reported in Table 3 is (0.6416±0.0079, 0.7589±…
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Hi, I am trying to run the sample code on chapter "Heterogeneous Graph Learning" [here](https://pytorch-geometric.readthedocs.io/en/latest/notes/heterogeneous.html?highlight=bipartite#automatically-co…
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## 🚀 Feature
Currently most of the GraphConv layers in PyG rely on the torch_sparse::matmul to realize message and propagation. However, I found that it does not support FP16 data type.
I re-imp…
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Hi, thanks again for solving the issue of adding embedder classes. I am trying to extend libkge by adding new embedders and use them on the existing decoder-only models (TransE, DistMult etc.) One is…
jwzhi updated
2 years ago
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I am working on a big machine learning project in which various features of tensorflow are used. So, while using an ogb dataset for a new graph-based module, I cannot switch to torch. I thought your l…
ghost updated
3 years ago
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### Discussed in https://github.com/rusty1s/pytorch_geometric/discussions/2886
Originally posted by **bsaghafi** July 21, 2021
When using very imbalanced data, my experience is that GNN method…
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Hey,
I've been trying to use pytorch geometric with NVIDIA AMP and having some troubles - is it officially supported?
For example the following code does not run successfully with any opt level…
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I'm using tensorflow as dgl backend in my local macbook since apple release its Metal-accelerated version of tensorflow. But it seems that the dgl-lifesci does not support tensorflow backend when I …
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## ❓ Questions and Help
I want to use the `graph2seq` model that would encode an input source code AST as a graph and would decode to a target sequence.
So far I am building the graph model usin…