Click on the above “Beginner Learning Vision“, select to add “Starred” or “Pinned“ Heavyweight content delivered in real time Beginner’s Guide The paper is the essence of academic research and a beacon for future development. The author is determined to bring classic or the latest paper interpretations and shares daily to help readers quickly understand … Read more
On March 26, 2024, Professor Huang Jiajun’s team from City University of Hong Kong, in collaboration with Tencent AI Lab and Shanghai Ruige Pharmaceutical, published an article in Nature Communications titled “A Dual Diffusion Model Enables 3D Molecule Generation and Lead Optimization Based on Target Pockets.” The authors proposed a Pocket-based Molecular Diffusion Model (PMDM) … Read more
Graph neural networks (GNNs) have gained widespread attention and are applied in scenarios such as recommendation systems, knowledge graphs, and traffic analysis due to their advantages in handling non-Euclidean space data and complex features. The irregularity of large-scale graph structures, the complexity of node features, and the dependency of training samples put immense pressure on … Read more
LangGraph provides a high level of control over the execution of charts. How to Create Parallel Execution Branches The parallel execution of nodes is crucial for speeding up overall graph operations. LangGraph offers native support for parallel execution of nodes, which can significantly enhance the performance of graph-based workflows. This parallelization is achieved through fan-out … Read more
LangGraph is an innovative Graph Neural Network (GNN) technology designed to address the complex relationship modeling challenges in Natural Language Processing (NLP) tasks. Traditional NLP models often treat text data as linear sequences, overlooking the intricate relationships between entities within the text. In contrast, LangGraph constructs a graph structure to represent the entities and their … Read more