gnn VS diffnet

Compare gnn vs diffnet and see what are their differences.

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform. (by tensorflow)
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gnn diffnet
3 1
1,294 169
1.6% -
9.3 3.6
19 days ago about 8 hours ago
Python Python
Apache License 2.0 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

Posts with mentions or reviews of gnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-19.

diffnet

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

What are some alternatives?

When comparing gnn and diffnet you can also consider the following projects:

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

awesome-drug-pair-scoring - Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer

PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

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

gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

HybridTSPSolver - A hybrid TSP solver that I made for my master's degree thesis in computer science.

ncem - Learning cell communication from spatial graphs of cells

fastembed - Fast, Accurate, Lightweight Python library to make State of the Art Embedding