pyg-team/pytorch_geometric
Aug 2025 – Aug 2025
1 Month active
Languages Used
C++Python
Technical Skills
Graph Neural NetworksLink PredictionMachine LearningPyTorchTransformer Models
Harry Shomer
PROFILE
Harry Shomer
During August 2025, contributed a major feature to the pyg-team/pytorch_geometric repository by developing and integrating the LPFormer Graph Transformer model for link prediction tasks. This work involved full implementation in Python and PyTorch, including comprehensive unit tests, detailed documentation, and ready-to-use usage examples to support researchers. The model’s performance was validated against ogbl-ppa baselines to ensure compatibility and reproducibility. By expanding the model zoo with a transformer-based approach for graph neural networks, the contribution enabled more robust link prediction experiments and facilitated adoption within the research community, emphasizing maintainability and ease of experimentation for machine learning practitioners.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,033
Activity Months1
Your Network
35 peopleWork History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 — pyg-team/pytorch_geometric: Focused on delivering a major feature integration to broaden the model zoo for link prediction. Delivered LPFormer Graph Transformer for Link Prediction with full implementation, usage example, unit tests, and documentation. Validated results against ogbl-ppa baselines and prepared ready-to-use examples for researchers.
1 Commits • 1 Features
Aug 1, 2025August 2025 — pyg-team/pytorch_geometric: Focused on delivering a major feature integration to broaden the model zoo for link prediction. Delivered LPFormer Graph Transformer for Link Prediction with full implementation, usage example, unit tests, and documentation. Validated results against ogbl-ppa baselines and prepared ready-to-use examples for researchers.
August 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Graph Neural NetworksLink PredictionMachine LearningPyTorchTransformer Models
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