Search Results for author: Xuegong Zhang

Found 9 papers, 5 papers with code

QueST: Querying Functional and Structural Niches on Spatial Transcriptomics Data via Contrastive Subgraph Embedding

1 code implementation14 Oct 2024 Mo Chen, Minsheng Hao, Xuegong Zhang, Lei Wei

To address this gap, we introduce QueST, a novel niche representation learning model designed for querying spatial niches across multiple samples.

Contrastive Learning Graph Representation Learning

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models

1 code implementation19 Aug 2024 Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang

To leverage the advantages of both approaches in molecular property prediction, we propose a novel Molecular Graph representation learning framework that integrates Large language models and Domain-specific small models (MolGraph-LarDo).

Descriptive Drug Discovery +4

Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity

no code implementations14 May 2024 Wenrui Li, Wei zhang, Qinghao Zhang, Xuegong Zhang, Xiaowo Wang

Extensive experiments with different datasets demonstrate the superiority of KEEL over several state-of-the-art methods in accuracy, robustness and computational efficiency.

Causal Discovery Computational Efficiency

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs

1 code implementation26 Feb 2024 Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv

Considering the NIE problem, LICAP adopts a novel sampling strategy called top nodes preferred hierarchical sampling to first group all interested nodes into a top bin and a non-top bin based on node importance scores, and then divide the nodes within top bin into several finer bins also based on the scores.

Contrastive Learning Graph Attention +1

scDiffusion: conditional generation of high-quality single-cell data using diffusion model

1 code implementation8 Jan 2024 Erpai Luo, Minsheng Hao, Lei Wei, Xuegong Zhang

This strategy allows the model to generate continuous trajectories of cell development from a given cell state.

MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation

1 code implementation7 Feb 2023 Yifan Sun, Jingyan Shen, Yunfan Jiang, Zhaohui Huang, Minsheng Hao, Xuegong Zhang

The automatic detection of atrial fibrillation based on electrocardiograph (ECG) signals has received wide attention both clinically and practically.

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