FSDiffNet is a package for fast and convenient differential graph inference based on siamese neural network.
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Updated
Jun 4, 2024 - Jupyter Notebook
FSDiffNet is a package for fast and convenient differential graph inference based on siamese neural network.
Analysis of temporal fluctuations in Stack Overflow user activity to characterize interaction-network structure, test fluctuation-based null models, and infer candidate connections through lagged covariance and inverse-network methods, developed for HUJI’s Dynamics, Networks and Computation course (67562).
GSM artifact for exact online GNN inference serving with degree-based scheduling and memory-aware batch division.
AMIE+ rule mining and inference engine for Neo4j knowledge graphs — discover logical rules, then infer new relationships automatically.
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