tensorflow / gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Summary
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| Main Code: 5,667 LOC (51 files) = PY (94%) + PROTO (4%) + BZL (<1%) + IN (<1%) Secondary code: Test: 6,913 LOC (31); Generated: 0 LOC (0); Build & Deploy: 23 LOC (1); Other: 82 LOC (2); |
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| Duplication: 1% | |||
| File Size: 0% long (>1000 LOC), 42% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 60% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 66% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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5 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2022-01-06
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1
commits
(30 days)
1
contributors
(30 days) |
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