Graph Neural Networks: A Beginner’s Guide

Graph Neural Networks: A Beginner's Guide

Source: AI Youdao Extreme Market Platform This article is approximately 5900 words long and is recommended for a reading time of 10 minutes. This article will provide a brief summary from a more intuitive perspective of the currently classic and popular GNN networks, including GCN, GraphSAGE, GAT, GAE, and graph pooling strategies like DiffPool, etc. … Read more

Overview of Graph Attention Networks (GAT)

Overview of Graph Attention Networks (GAT)

Author: Deng Yang This article is approximately 6300 words long and is recommended for a 10-minute read. This article briefly introduces the working principles of GAT based on the order discussed in the paper by Velickovic et al. (2017). When numbers are intangible, intuition is sparse; when forms are few, it is hard to delve … Read more

A Summary of Graph Neural Networks

A Summary of Graph Neural Networks

In recent years, the enthusiasm for research on Graph Neural Networks (GNNs) in the field of deep learning has been growing steadily, making GNN a hot research topic at major deep learning conferences. The remarkable ability of GNNs to handle unstructured data has led to breakthroughs in network data analysis, recommendation systems, physical modeling, natural … Read more

CD45-ADC Transplant Corrects Rag1 Immunodeficiency

CD45-ADC Transplant Corrects Rag1 Immunodeficiency

CD45-ADC transplantation corrects Rag1 immunodeficiency in congenic and haploidentical settings. Transplantation after CD45-ADC corrects Rag1 immunodeficiency in congenic and haploidentical settings. For patients with mutations in recombination activating gene 1 (RAG1), hematopoietic cell transplantation is a potentially curative option, but complications can be severe. Could conditioning with CD45 antibody-drug conjugates provide a promising approach? Below … Read more