Multimodal 3D Genome Pre-training

no code implementations • 12 Apr 2025 • Minghao Yang, Pengteng Li, Yan Liang, Qianyi Cai, Zhihang Zheng, Shichen Zhang, Pengfei Zhang, Zhi-An Huang, Hui Xiong

Here, we propose MIX-HIC, the first multimodal foundation model of 3D genome that integrates both 3D genome structure and epigenomic tracks, which obtains unified and comprehensive semantics.

Can Large Language Models Help Experimental Design for Causal Discovery?

no code implementations • 3 Mar 2025 • Junyi Li, Yongqiang Chen, Chenxi Liu, Qianyi Cai, Tongliang Liu, Bo Han, Kun Zhang, Hui Xiong

Designing proper experiments and selecting optimal intervention targets is a longstanding problem in scientific or causal discovery.

Causal Discovery Experimental Design +3

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models

no code implementations • 6 Feb 2025 • Rui Cai, Chao Wang, Qianyi Cai, Dazhong Shen, Hui Xiong

In this paper, we propose the Confidence-aware KG-based Recommendation Framework with LLM Augmentation (CKG-LLMA), a novel framework that combines KGs and LLMs for recommendation task.

Contrastive Learning Explanation Generation +1