This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL. pytorchheterogeneousgraph-neural-networksdgl UpdatedNov 14, 2024 Python BabitMF/bmf Star804 Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design,...
Heterogeneous Graph Neural Network. Contribute to Mzzzzzzzzz/HAN development by creating an account on GitHub.
Finally, to fully utilize rich structural information of heterogeneous graph, we use the joint learning of metapath-guided heterogeneous graph neural network and SSL to learn the embedding representation. Extensive comparison experiments on three real-world datasets show that HGDR outperforms the state...
Heterogeneous graph neural networks (HGNNs) have attracted increasing research interest in recent three years. Most existing HGNNs fall into two classes. One class is meta-path-based HGNNs which either require domain knowledge to handcraft meta-paths or consume huge amount of time and memory to ...
论文链接:https://arxiv.org/pdf/2003.01332 代码链接:https://github.com/acbull/pyHGT 关键词:图神经网络、HGT一、相关概念1.1 Heterogeneous Graph 异构图 Definition : A heterogeneous graph is defined a…
【论文解读 KDD 2019 | HetGNN】Heterogeneous Graph Neural Network,程序员大本营,技术文章内容聚合第一站。
【论文解读 KDD 2019 | HetGNN】Heterogeneous Graph Neural Network 论文题目:HeterogeneousGraphNeuralNetwork论文来源:KDD2019论文链接:https://arxiv.org/abs/1903.07293代码链接:https://github.com/chuxuzhang/KDD2019_HetGNN关键词:HIN, GNN,GraphEmbedding 文章目录1摘要 2 引言 2.1 已有的方法 ...
代码链接:https://github.com/didi/hetsann Abstract 针对HIN(Heterogeneous Information Network)的表示学习,提出 HetSANN(Heterogeneous Graph Structural Attention Neural Network) 模型,不使用元路径(mate-path)直接编码 HIN 中的信息。通过以下两种方法表示异构信息: ...
异构图神经网络（Heterogeneous Graph Neural Network，HAN）是一种专门设计用于处理异构图数据的模型，这种模型在2019年发表于WWW大会上。HAN的独特之处在于，它结合了注意力机制与图结构的概念，旨在更有效地处理具有不同节点类型和边类型的复杂图数据。以下是对HAN原理与实现的概述，涵盖预备知识、元路径的...
Citation If you use this code for your research, please cite our paper. Yu Z, Jiang M, Lan X. HeteroTCR: A heterogeneous graph neural network-based method for predicting peptide-TCR interaction. Commun Biol. 2024 Jun 4;7(1):684. doi: 10.1038/s42003-024-06380-6. PMID: 38834836. Abou...