bottleneck
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications" (by tech-srl)
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. (by nikita6187)
Our great sponsors
| bottleneck | TransportPlanningDataset | |
|---|---|---|
| 2 | 3 | |
| 90 | 8 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | about 2 years ago | |
| Python | Python | |
| MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of bottleneck.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-09.
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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
TransportPlanningDataset
Posts with mentions or reviews of TransportPlanningDataset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-28.
- Strategic Transport Planning Dataset for Deep Graph Neural Networks
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[N] New Transport Planning Dataset for Deep Graph Neural Networks
I just published a graph dataset aimed at creating deep GNNs: https://github.com/nikita68/TransportPlanningDataset
- [R] New Transport Planning Dataset for deep Graph Neural Networks
What are some alternatives?
When comparing bottleneck and TransportPlanningDataset you can also consider the following projects:
GraphMixerNetworks - Official Implementation of Graph Mixer Networks
grand-cypher - Implementation of the Cypher language for searching NetworkX graphs
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
code2vec - TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
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)