8 citations · 15 across the 15 of their papers we have counts for
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q-bio.QM2024★ 2 cited
M-20M: A Large-Scale Multi-Modal Molecule Dataset for AI-driven Drug Design and Discovery
Siyuan Guo, Lexuan Wang, Chang Jin +6
This paper introduces M-20M, a large-scale Multi-Modal Molecule dataset that contains over 20 million molecules, with the data mainly being integrated from existing databases…
cs.AI2024★ 1 cited
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis
Yangmin Li, Ruiqi Zhu, Wengen Li
Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions and benefits a variety of ap…
cs.LG2024★ 2 cited
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
Lingbai Kong, Wengen Li, Hanchen Yang +3
Temporal causal discovery is a crucial task aimed at uncovering the causal relations within time series data. The latest temporal causal discovery methods usually train deep learni…