GraphGPS VS efficient-gnns

Compare GraphGPS vs efficient-gnns and see what are their differences.

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GraphGPS efficient-gnns
1 2
596 525
- -
0.0 0.0
4 months ago over 1 year 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.

GraphGPS

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

efficient-gnns

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

What are some alternatives?

When comparing GraphGPS and efficient-gnns you can also consider the following projects:

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

euler - A distributed graph deep learning framework.

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

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

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

Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

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)