MLNLP(Machine Learning Algorithms and Natural Language Processing) is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, covering domestic and international NLP master’s and doctoral students, university teachers, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial sectors of … Read more
Academic Dynamics Dynamic Learning Graph Convolution Mechanism for Short-Term Spatio-Temporal Traffic Flow Prediction Model Short-term traffic flow prediction is a core branch of intelligent transportation systems and plays an important role in traffic management. Graph Convolutional Networks (GCN) are widely used in traffic prediction models, effectively handling the graphical structure data of road networks. However, … Read more
Follow the official account “ML_NLP“ and set it as a “starred“, delivering heavy content to you in real time! Produced by Machine Learning Algorithms and Natural Language Processing @Original Column Author of the Official Account Guohao School | PhD Student in Computer Science at King Abdullah University of Science and Technology Let me also share … Read more
Author: Zhong Yangyang Reviewed by: Chen Zhiyan This article is approximately 2500 words long and is recommended to be read in 5 minutes. This article provides a brief introduction to the basic concepts of Graph Neural Networks and typical models. A graph (Graph) is a type of data structure that can naturally model the complex … Read more
Author: yyHaker Source: https://zhuanlan.zhihu.com/p/136521625 This article is about 5900 words long and is recommended to be read in 10 minutes. This article will provide a simple summary from a more intuitive perspective of the currently popular classic GNN networks, including GCN, GraphSAGE, GAT, GAE, and graph pooling strategies such as DiffPool. In recent years, the … Read more
Hello everyone, I’m Cat Brother! Today let’s talk about PyTorch Geometric, abbreviated as PyG. This is a library based on PyTorch specifically designed for handling Graph Neural Networks (GNN). If you’re interested in graph data such as social networks, recommendation systems, molecular structures, etc., then PyG is an excellent choice! PyG provides many efficient operations … Read more
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
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
Click on the "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered first This article is compiled from Zhihu Q&A, used for academic sharing only, copyright belongs to the author. If there is any infringement, please contact the backend for deletion. Viewpoint One Author | Guohao Li https://www.zhihu.com/question/366088445/answer/1023290162 Let’s talk about my understanding. … 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