gnn-lspe
pna
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| gnn-lspe | pna | |
|---|---|---|
| 3 | 5 | |
| 214 | 323 | |
| - | - | |
| 0.0 | 1.8 | |
| about 2 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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gnn-lspe
- [D] Machine Learning - WAYR (What Are You Reading) - Week 128
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[R] Graph Neural Networks with Learnable Structural and Positional Representations
Code for https://arxiv.org/abs/2110.07875 found: https://github.com/vijaydwivedi75/gnn-lspe
pna
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[D] Machine Learning - WAYR (What Are You Reading) - Week 130
/u/CatalyzeX_code_bot: Paper link
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[D] Machine Learning - WAYR (What Are You Reading) - Week 129
Code for https://arxiv.org/abs/2004.05718 found: https://github.com/lukecavabarrett/pna
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[D] Machine Learning - WAYR (What Are You Reading) - Week 128
In this regard, I came across the Principal Neighborhood Aggregation paper which aggregates information from neighbors based on different aggregators (1st, 2nd, and higher-order moments like mean, std, kurtosis, etc.). Additionally, the authors also introduce a scaler based on the degree of the node. It basically amplifies or attenuates the incoming information from the neighboring nodes. The code implementation is available here. Reach out to me if you want to discuss more!
What are some alternatives?
pytorch_geometric - Graph Neural Network Library for PyTorch
torchdrug - A powerful and flexible machine learning platform for drug discovery
PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks
graphtransformer - Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
gansformer - Generative Adversarial Transformers
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer
PET-NeuS - PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)