graphtransformer VS GraphGPS

Compare graphtransformer vs GraphGPS and see what are their differences.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21. (by graphdeeplearning)
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graphtransformer GraphGPS
4 1
804 593
3.5% -
0.0 0.0
almost 3 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.

graphtransformer

Posts with mentions or reviews of graphtransformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-27.

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 graphtransformer and GraphGPS you can also consider the following projects:

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

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

spektral - Graph Neural Networks with Keras and Tensorflow 2.

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

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

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

LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation

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

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