XiaShan1227/Graphormer
Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
This project helps machine learning researchers improve how they represent and analyze complex graph data using Transformer models. It takes graph structures, such as molecular graphs or social networks, and processes them to generate better numerical representations. The primary users are researchers and practitioners in machine learning and artificial intelligence working with graph-structured data.
No commits in the last 6 months.
Use this if you are a machine learning researcher exploring advanced graph representation learning techniques, particularly those interested in applying or improving Transformer architectures for graph data.
Not ideal if you are a business user looking for a plug-and-play solution for graph analytics without deep technical expertise in machine learning and model training.
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61
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10
Language
Python
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Last pushed
Oct 28, 2024
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