gnn VS transformers

Compare gnn vs transformers and see what are their differences.

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gnn transformers
3 178
1,282 125,741
2.0% 2.0%
9.3 10.0
16 days ago about 22 hours ago
Python Python
Apache License 2.0 Apache License 2.0
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.

transformers

Posts with mentions or reviews of transformers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-08.

What are some alternatives?

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

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

fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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

sentence-transformers - Multilingual Sentence & Image Embeddings with BERT

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

llama - Inference code for Llama models

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

transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"

ncem - Learning cell communication from spatial graphs of cells

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

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

huggingface_hub - The official Python client for the Huggingface Hub.