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, Harry Shomer developed and integrated the LPFormer Graph Transformer for Link Prediction into the pyg-team/pytorch_geometric repository. He implemented the model using Python and PyTorch, focusing on graph neural networks and transformer architectures to address link prediction tasks. The work included a complete implementation, comprehensive unit tests, and detailed documentation, along with usage examples to support reproducibility and ease of adoption by researchers. Harry validated the model’s performance against ogbl-ppa baselines, ensuring compatibility and reliability. This contribution expanded the model zoo for link prediction and provided a robust, ready-to-use resource for the machine learning community.
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
32 people
Work 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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