jodie
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
claws-lab/jodie
View on GitHub ↗A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
jodie grew +0.5% in the last 30 days, ranks 20th of 71 in Interpretability & Alignment, last commit 821 days ago.
Star trajectory
115 days tracked2026-07-02425 stars today2026-10-25
Momentum
+0.5% in 30d, above the Interpretability & Alignment median of +0.2%.
Maintenance
Last commit 821 days ago, staler than the median of 202d.
How it compares in Interpretability & Alignment
jodie
425
stars
+0.5% 30d
commit 821 days ago
Interpretability & Alignment median
298
stars
+0.2% 30d
commit ~202d ago
Leader · lmms-eval
4.5k
stars
+0.8% 30d
commit 2 days ago
Ranked 20th of 71 by stars.
- Language
- Python
- License
- MIT License
- Contributors
- 4
- Forks
- 85
- Watchers
- 6
- Open issues
- 14
- Releases
- 0
- Created
- 2019-06-26
- Stars this week
- +0
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