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Data Party THU
Data Party THU
Oct 18, 2025 · Artificial Intelligence

Can Classic Graph Autoencoders Rival SOTA? Surprising Optimizations Reveal Their Power

Researchers from Peking University demonstrate that, by applying modern optimization techniques to the decades‑old Graph Autoencoder (GAE), the model can achieve state‑of‑the‑art link‑prediction performance on benchmarks like ogbl‑ppa, while delivering orders‑of‑magnitude speed improvements, challenging the trend toward ever‑more complex GNNs.

Model Optimizationefficiencygraph autoencoder
0 likes · 10 min read
Can Classic Graph Autoencoders Rival SOTA? Surprising Optimizations Reveal Their Power
Data Party THU
Data Party THU
Aug 1, 2025 · Artificial Intelligence

How SUICA Boosts Spatial Transcriptomics with Implicit Neural Representations

The SUICA model combines graph autoencoders and implicit neural representations to denoise, impute, and super‑resolve spatial transcriptomics data, overcoming resolution‑cost trade‑offs and dropout noise, and delivers biologically richer gene expression predictions validated on mouse embryo and brain datasets.

bioinformaticsdata denoisinggene expression imputation
0 likes · 9 min read
How SUICA Boosts Spatial Transcriptomics with Implicit Neural Representations