Official implementation of the Graph Embedding RetroFitting (GERF) method - pbielak/gerf

We proposed a novel graph embedding retrofitting model (GERF), which solves this problem by optimizing a compound loss function, which includes an invariance loss (keeping the new embedding close to the structural one), a graph neigh-borhood loss (which pushes embedding of neighboring nodes closer together) and a attribute neighborhood loss ...

In this paper, we re-examine the idea of the GERF (Graph Embedding RetroFitting) model and provide a simplification of the objective function as well as an algorithm for hyperparameter estimation.

Official implementation of the Graph Embedding RetroFitting (GERF) method - gerf/README.md at master · pbielak/gerf

Predefined indicators used for corporate monitoring and reporting such as: all 17 SDG (Tier I), FPI PF, GERF level 1, GERF level 2, GAP III and IPA III PF indicators

(GERF) are the corporate results framework for the aggregation of results used to collect and measure key results achieved by interventions funded by external assistance financing instruments of EU international cooperation. The Global Europe Results Framework was introduced in 2022.

2017年3月10日 · The GERF transforms an original gait energy into another one so as to make it more discriminative under clothes variation. The GERF is represented as a look-up table vector and is optimized through efficient generalized eigenvalue problem, which enables us to obtain analytical solution in a closed form without any iterations.

Xia-an Bi提出了一种基于遗传数据和静息功能磁共振成像 (rs-fMRI)数据的遗传进化随机森林 (GERF)算法，用于发现早期轻度认知障碍 (EMCI)的危险基因和疾病相关脑区。

ELJ-GERF的原理是利用静电吸引力挤压柔性平面电极以产生摩擦力，并实现堵塞，其中GERF作为介质。 通过添加巨型电流变流体、空气和硅油，制备了三种可变拉伸刚度应用的样品，分别为ELJ-GERF、ELJ-AIR和ELJ-OIL。

在本文中，我们提出了一种遗传进化随机森林（GERF）算法，基于遗传数据和静息态功能磁共振成像（rs）来发现早期轻度认知障碍（EMCI）的风险基因和疾病相关的大脑区域。