⚛️Great #MachineLearningScienceandTechnology paper on Multi-target property prediction and #optimization using #LatentSpaces of #generativemodel

From @samikaski.bsky.social & @aalto.fi & @orionpharma.bsky.social researchers

Paper ➡️ bit.ly/4ndky7c
#DrugDiscovery #ML #molecular #graphgeneration

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AutoGraph, a decoder‑only transformer, claims up to 100× faster generation and 3× faster training than diffusion models; code is on GitHub and it will be shown at NeurIPS 2025. Read more: https://getnews.me/autograph-transformer-based-scalable-graph-generation-model/ #autograph #graphgeneration

GraphWeave uses random walks and a transformer to separate learning from graph construction, achieving up to a 10x speed boost for four simulated and five real‑world datasets. Read more: https://getnews.me/graphweave-interpretable-fast-graph-generation-via-random-walks/ #graphweave #graphgeneration

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