Originally from Python Artificial Intelligence Frontier Graph Neural Networks are widely used in recommendation systems, knowledge graphs, and traffic road analysis due to their advantages in processing non-Euclidean space data and complex features. However, when the graph data volume increases, problems arise: computation becomes extremely slow, memory cannot hold it, and communication in distributed systems … Read more
Click on the above“Visual Learning for Beginners”, select to add a star or “pin” Heavyweight insights delivered in real-time Author: Compiled by: ronghuaiyang Introduction The aim of this perspective is to build intuition behind the Transformer architecture in NLP and its connection to Graph Neural Networks. Engineer friends often ask me: “Graph deep learning” sounds … Read more
Resource Sharing Edited by: Rabbit Unknowingly, 2019 is about to pass Time flies, and you have accompanied us for another year This year We have compiled 33 papers and 165 news updates Prepared 46 paper interpretations Shared 38 pieces of technical content Held 6 sessions of AI Talking And organized 1 offline salon called “Graph … Read more
Background Introduction The main purpose of Graph Representation Learning (Graph Representation Learning, Network Embedding, Graph Embedding) is to map each node in the graph to a low-dimensional vector space, preserving the original structure and distance information of the graph. Intuitively, two points that are close together in the graph should also be close together in … Read more
Hello everyone, I am Xiao Wu Ge. It has been a while since my last update. Recently, I have been looking at various topics, and I don’t know where to start. I have been quite busy with work, but I managed to find some time this weekend to write an article. Most of the articles … Read more
This article will cover the essence of GNN、GNNprinciples、GNNapplications in three aspects, allowing you to understand Graph Neural Networks (GNN) in one article. Graph Neural Network (GNN) 1. The Essence of GNNEssence of GNN The definition of GNN:GNN, or Graph Neural Network, is a deep learning model based on graph structures, specifically designed to handle graph … Read more
Today is January 22, 2025, Wednesday, Beijing, sunny. Today is the Little New Year in the North, and the Spring Festival is approaching. This article continues to explore the progress of GraphRAG, specifically looking at the RAG scheme that directly uses KG, which is KG-RAG, provided that the KG is established. Some ideas are worth … Read more
## HUAWEI Pangu Model: From Weather Forecasting to New Drug Development Recently, the tech world has been buzzing with HUAWEI’s Pangu model making frequent appearances, predicting the weather one moment and working on new drug development the next. The Pangu model, as its name suggests, is indeed impressive. It is not a simple model but … Read more