在代谢组学研究中，数据文件名中的“pos”和“neg”代表了代谢产物的离子模式，分别对应正离子模式和负离子模式。 这两种离子模式在质谱分析中具有不同的应用场景和特点，对于代谢产物的检测、分析和解释具有重要的指导意义。

Code of SIGKDD 22 paper "M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning" This paper proposes to mix multiple samples in one mini-batch to generate hard negative pairs. To pre-train the encoder on CIFAR-10 and CIFAR-100, run:

代谢组学 (metabonomics/metabolomics)是指对一个生物体系在特定时间和条件下所有小分子 （相对分子质量小于1500） 代谢物质的定性定量分析，从而描述生物内源性代谢物的整体及其对内、外因素变化应答规律。 它是以组群指标分析为基础，以高通量检测和数据处理为手段，以信息建模与系统整合为目标系统生物学的一个分支。 02. 代谢组学的研究步骤一般是什么？ 答： 代谢组学的研究步骤一般包括样品的前处理、数据的采集、数据预处理、多变量数据分析、标志物识别 …

现有的hard negative mining大致能分两类， Adversarial based 和 Mixing based。 The highlights of this paper： M-Mix能够mix多个samples，并且能够动态的分配权值。 作者有一个理论分析，建议强调相似样本之间的混合权重，使这些样本产生更困难的hard negatives。 我们设计了一个多样性目标函数，以增加产生negatives的难度，经验表明，这同时可以提高预测的稳定性。 还设计了两个版本：M-Mix-wp and M-Mix-op。 前者需要结构信息去针对与图相关的denoising 和 …

cent hard negative mining methods via pairwise mixup operation in vision, we propose M-Mix, which dynamically generates a sequence of hard negatives. Compared with previous methods, M-Mix mainly has three features: 1) adaptively choose samples to mix; 2) simul-taneously mix multiple samples; 3) automatically assign different

We provide examples of how SupReMix can be applied to your own datasets. There are three components in SupReMix: (1) Mix-neg, (2) Mix-pos, and (3) Distance Magnifying. We provide the code for each component in the following sections.

Inspired by recent hard negative mining methods via pairwise mixup operation in vision, we propose M-Mix, which dynamically generates a sequence of hard negatives. Compared with previous methods, M-Mix mainly has three features: 1) adaptively choose samples to mix; 2) simultaneously mix multiple samples; 3) automatically assign different mixing ...

Feb 19, 2022 · To address these issues, we adopt mixing operation in generating harder negative samples for knowledge graphs and introduce an inexpensive but effective method called MixKG. Technically, MixKG first proposes two kinds of criteria to filter hard negative triplets among the sampled negatives: based on scoring function and based on correct entity ...

Oct 2, 2020 · Based on these observations, and motivated by the success of data mixing, we propose hard negative mixing strategies at the feature level, that can be computed on-the-fly with a minimal computational overhead.

we propose a novel sampling approach called Mixed Negative Sam-pling (MNS), where the idea is to use a mixture of unigram and uniform distributions. In particular, in addition to the negatives sampled from batch training data, we uniformly sample negatives from the candidate corpus to serve as additional negatives. This