gnn-lspe VS gnn

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

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
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gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform. (by tensorflow)
Tensorflow Gnn Deep Learning Machine Learning
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gnn-lspe gnn
3 3
214 1,280
- 1.9%
0.0 9.3
about 2 years ago 10 days ago
Python Python
MIT License Apache License 2.0
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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.

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.

What are some alternatives?

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

pytorch_geometric - Graph Neural Network Library for PyTorch

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

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

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

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

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

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

ncem - Learning cell communication from spatial graphs of cells

gansformer - Generative Adversarial Transformers

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

gnn-lspe vs pytorch_geometric gnn vs transformers gnn-lspe vs pna gnn vs pytorch_geometric_temporal gnn-lspe vs PDN gnn vs PDN gnn-lspe vs efficient-gnns gnn vs diffnet gnn-lspe vs graphtransformer gnn vs ncem gnn-lspe vs gansformer gnn vs fastembed