KGATE : a Knowledge Graph Embedding Training Environment
KGATE is a modular PyTorch library for training knowledge-graph autoencoders with leakage-controlled preprocessing and reproducible benchmarks.
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MRVQ: One Resident Index for Dimension- and Rate-Elastic Vector Search
MRVQ truncates one residual quantization code by rate and dimension, using 17.8-22x less memory than separate QINCo2 indices for elastic dense retrieval.
COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modules
COMPLEX embeds multiparameter persistence modules with a closed-form two-sided distortion bound and strong Orbit scores.