bottleneck
GraphMixerNetworks
Our great sponsors
| bottleneck | GraphMixerNetworks | |
|---|---|---|
| 2 | 2 | |
| 90 | 14 | |
| - | - | |
| 0.0 | 4.4 | |
| about 2 years ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
GraphMixerNetworks
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[R] Graph Mixer Networks
Found relevant code at https://github.com/asarigun/GraphMixerNetworks + all code implementations here
What are some alternatives?
grand-cypher - Implementation of the Cypher language for searching NetworkX graphs
chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
deep_gcns_torch - Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
code2vec - TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
pytorch_geometric - Graph Neural Network Library for PyTorch
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
do-you-even-need-attention - Exploring whether attention is necessary for vision transformers
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.