daiquocnguyen/Graph-Transformer
UGformer is a graph transformer model that applies transformer self-attention to learn representations from graph-structured data in supervised and unsupervised settings.
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The repository provides PyTorch and TensorFlow implementations of UGformer (Universal Graph Transformer Self-Attention Networks), published at WWW 2022. It leverages transformer self-attention mechanisms to learn node and graph-level embeddings for tasks like graph classification, node classification, and text classification. The model uses variant architectures that apply self-attention over graph structures to capture relational information.
Frequently asked
- What is daiquocnguyen/Graph-Transformer?
- UGformer is a graph transformer model that applies transformer self-attention to learn representations from graph-structured data in supervised and unsupervised settings.
- Is Graph-Transformer open source?
- Yes — daiquocnguyen/Graph-Transformer is open source, released under the Apache-2.0 license.
- What language is Graph-Transformer written in?
- daiquocnguyen/Graph-Transformer is primarily written in Python.
- How popular is Graph-Transformer?
- daiquocnguyen/Graph-Transformer has 680 stars on GitHub.
- Where can I find Graph-Transformer?
- daiquocnguyen/Graph-Transformer is on GitHub at https://github.com/daiquocnguyen/Graph-Transformer.