The novel contribution lies in integrating Radiomic features with GNNs and comparing their efficacy against traditional multi-stain profiles.MethodsWe utilized GNNs to process multiple pathological slides as cell-level graphs, comparing their performance with XGBoost and Random Forest classifiers. The ...
Gated Graph Sequence Neural Networks 文章目录 1. 前言 2. GG-NN 3. GGS-NN References 论文地址:https://arxiv.org/abs/1511.05493 源码地址:ggnn slides:ggnn-talk 关键词:RNN, Graph Sequential tasks 1. 前言 这篇论文提出了一种基于GRU1的GNN,能够进行输出单个值的任务(如结点分类、图分类等),也能完...
诸神缄默不语-个人CSDN博文目录 cs224w(图机器学习)2021冬季课程学习笔记集合 文章目录 1. How Expressive are Graph Neural Networks? 2. Designing the Most Powerful Graph Neural Network 本节课slides 下载地址 因为一些原因,在学习相应内容并撰写对应博文的这段时间内,我上不了油管,所以... ...
2021b). Graph Convolutional Neural Network (GCN) is one of the early representative GNNs that propagates node information along edges and aggregates with their message passing mechanism in graph node classification (Ye et al. 2022). Theoretically, neighbor aggregation in GNNs can be viewed as an...
Existing research has given limited attention to poisoning attacks on Graph Neural Network (GNN) models. These attacks are primarily classified into gradient-based and non-gradient-based approaches. While these methods have demonstrated significant effectiveness, they still have notable limitations. For in...
To address this gap, we propose a recurrent graph neural network (R-GNN) for the font classification of oracle bone inscriptions. By comprehensively extracting both local detailed features and global contextual information from the oracle bone inscriptions, our R-GNN effectively models the features ...
A PyTorch implementation of "Graph Structure Learning for Robust Graph Neural Networks" (KDD 2020). [paper] [slides] The code is based on our Pytorch adversarial repository, DeepRobust (https://github.com/DSE-MSU/DeepRobust) Note Although in the original paper we did not provide the results ...
Full paper PDF:SuperGlue: Learning Feature Matching with Graph Neural Networks. Authors:Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich Website:psarlin.com/supergluefor videos, slides, recent updates, and more visualizations. ...
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li.Deep Adversarial Social Recommendation.In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019. [Arxiv] [Slides] Wenqi Fan, Qing Li, Min Cheng.Deep Modeling of Social Relations for Recommen...
While gene expression and protein abundance can vary at the cellular level, pinpointing protein abundance at a spatial resolution across whole slides is crucial for neuropathological diagnostics2. We posited that, on a whole slide scale, gene expression might offer insights into protein levels, fac...