PDN VS gnn-lspe

Compare PDN vs gnn-lspe and see what are their differences.

PDN

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21) (by benedekrozemberczki)
Gcn Gnn Deepwalk Multiplex Graph2vec Pytorch graph-neural-network Deep Learning pathfinder message-passing neural-message-passing cheminformatics molecules graph-classification node-classification network-science Data Science Transformer Bert gpt-3
Source Code
arxiv.org
Suggest alternative
Edit details

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022 (by vijaydwivedi75)
graph-neural-networks Transformers graph-transformer positional-encoding graph-deep-learning transformer-networks attention Graphs molecules gnn-lspe lspe graph-representation-learning geometric-deep-learning representation-learning Gnn message-passing
Source Code
arxiv.org
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
PDN gnn-lspe
1 3
57 214
- -
0.0 0.0
over 1 year ago about 2 years ago
Python Python
GNU General Public License v3.0 only 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.

PDN

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

gnn-lspe

Posts with mentions or reviews of gnn-lspe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-07.

What are some alternatives?

When comparing PDN and gnn-lspe you can also consider the following projects:

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

pytorch_geometric - Graph Neural Network Library for PyTorch

gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

pna - Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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

karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

gansformer - Generative Adversarial Transformers

PDN vs awesome-graph-classification gnn-lspe vs pytorch_geometric PDN vs gnn gnn-lspe vs pna PDN vs pytorch-lightning gnn-lspe vs efficient-gnns PDN vs karateclub gnn-lspe vs graphtransformer PDN vs best-of-ml-python gnn-lspe vs gnn PDN vs pytorch_geometric_temporal gnn-lspe vs gansformer