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Here we can add the papers we find
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Hi @Wuziyi616,
Thanks for sharing a clean version of the bb benchmark code, it looks quite nice and well organized. I have some questions though which I would like to clarify.
1. If I understand…
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Hello, I am learning your papers and codes. I am confused that why the GPU will not be applied (os.environ['CUDA_VISIBLE_DEVICES'] = '-1'). By the way, I then change '-1' to '0', the training speed is…
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Dear anthors,
I am interested in the simple while effective approach you propose. In February, I noticed this paper and download its code from https://anonymous.4open.science/r/LightGCL/. Rec…
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Hello, first of all thank you for putting together such a comprehensive package of GNN methods!
I have successfully been able to train a simple model on my data based on the "Getting Started" guide…
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### Is your feature request related to a problem? Please describe.
Currently, I am implementing Subgraph network rules for GNNs, and I need to operate on edges and create new graphs based on the conn…
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Chaitanya Joshi, Vijay Prakash Dwivedi, Xavier Bresson. [Spatial Graph ConvNets](https://graphdeeplearning.github.io/project/spatial-convnets/).
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`nn-Meter` is not only a latency predictor but also a critical component in the hardware-aware model design. It empowers existing NAS (neural architecture search) and other efficient model design task…
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## Related Reference
- Chaitanya K. Joshi. [Transformers are Graph Neural Networks.](https://towardsdatascience.com/transformers-are-graph-neural-networks-bca9f75412aa).
- Arthur Szlam. [Neural pr…
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I doubt that the code is still based on score-matching methods. In `models/epsnet/dualenc.py`, line 478, the noisy sample in forward diffusion process is different from the eq.(4) in DDPM, and the equ…