gnn-lspe VS GraphGPS

Compare gnn-lspe vs GraphGPS and see what are their differences.

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gnn-lspe GraphGPS
3 1
214 592
- -
0.0 0.0
about 2 years ago 4 months ago
Python Python
MIT License 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.

gnn-lspe

Posts with mentions or reviews of gnn-lspe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-07.

GraphGPS

Posts with mentions or reviews of GraphGPS. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing gnn-lspe and GraphGPS you can also consider the following projects:

pytorch_geometric - Graph Neural Network Library for PyTorch

graphtransformer - Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

pna - Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

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

diffnet - Graph Neural Network based Social Recommendation Model. SIGIR2019.

awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.

gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.