efficient-gnns VS GraphGPS

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

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

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.

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

euler - A distributed graph deep learning framework.

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

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

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

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

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

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)