arXiv Machine Learning July 8, 2026 By Qiwei Han, Chi Zhou, Ruobing Wang, Zheng Ma

Multimodal Molecular Representation Learning with Graph Neural Networks, Deep & Cross Networks, and SMILES Embeddings

Read the original on arXiv Machine Learning →

arXiv:2607. 05736v1 Announce Type: new Abstract: Molecular property prediction often relies on isolated data modalities, where continuous 3D graph neural networks (GNNs) struggle to efficiently capture long-range topological dependencies and exact macroscopic heuristics.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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