GraphMixerNetworks
bottleneck
GraphMixerNetworks | bottleneck | |
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2 | 2 | |
15 | 90 | |
- | - | |
4.4 | 0.0 | |
5 months ago | about 2 years ago | |
Python | Python | |
MIT License | MIT License |
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GraphMixerNetworks
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[R] Graph Mixer Networks
Found relevant code at https://github.com/asarigun/GraphMixerNetworks + all code implementations here
bottleneck
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[D] Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning and Graph Expander Propagation
Found relevant code at https://github.com/tech-srl/bottleneck + all code implementations here
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[N] New Transport Planning Dataset for Deep Graph Neural Networks
Code for https://arxiv.org/abs/2006.05205 found: https://github.com/tech-srl/bottleneck
What are some alternatives?
chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
grand-cypher - Implementation of the Cypher language for searching NetworkX graphs
deep_gcns_torch - Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
pytorch_geometric - Graph Neural Network Library for PyTorch
code2vec - TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
do-you-even-need-attention - Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
how_attentive_are_gats - Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
TransportPlanningDataset - A graph based strategic transport planning dataset, aimed at creating the next generation of deep graph neural networks for transfer learning. Based on simulation results of the Four Step Model in PTV Visum.