local-local), node-graph(subgraph) contrasting level (i.e. local-global), graph(subgraph)-graph(subgraph) contrasting level (i.e. global-global)[1][2],以及aligned 和non-aligned views。 通过图一我们可以了解到不同level对比的
In this work, we propose a multitask learning (MTL) framework DeepDTAGen, which performs both tasks (predicting DTA and generating novel drugs) simultaneously by using the common features (as the knowledge of ligand-receptor interaction) space for both functions as reflected in Fig.1. Minimizing ...
A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization 2021 Jose et al. MLSP PAC-Bayesian - Bayesian Models DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks 2021 He et al. arXiv DEEPOBLIVIATE - DNN-based Models Approximate...
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching algorithm based on a fixpoint computation that is usable across different scenarios. The algorithm takes two graphs ...
24 ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On Ji Woo Hong · Tri Ton · Trung X. Pham · Gwanhyeong Koo · Sunjae Yoon · Chang D. Yoo try-on 25 AIpparel: A Large Multimodal Generative Model for Digital Garments Kiyohiro Nakayam...
这篇论文介绍了一个新数据集,FACTUAL,目的是提高视觉-语言任务中场景图解析(Scene Graph Parsing)的准确性(Faithfulness)和一致性(Consistency)。场景图解析是一个简单直接的任务,主要功能是将图片或文本描述转换为对应的语义场景图。在我们的论文中,我们专注于如何提高从文本到场景图的解析效果。例如,如下图所示,“A...
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang. WSDM, 2019.[Paper] A reference Tensorflow implementation is accessible[here]and another implementation is[here]. ...
{\prime} }\) (and \({\overline{{{\rm{M}}}\)) of the BS reveals that the gap opened by the spin–orbit interaction extends beyond it anisotropically on the dispersion surfaces, with the minimum gap at 338 meV, markedly larger than in the DFT results, which predict degeneracy28. We...
To compensate for the model’s training degeneracy, we focus on optimizing the loss function’s balance to increase its applicability. 𝐿𝑇𝑣𝑒𝑟𝑠𝑘𝑦LTversky directs the gradient optimizer towards the channel of interest for iterative optimization using the improved Tversky loss ...
Inter-subject graph-based learning. Equipped with a graph construction scheme and a graph similarity function such as those designed in this paper, one can define numerous classifiers.Sylvain, TakerkartGuillaume, ...