GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
DeepHypergraph:https://github.com/iMoonLab/DeepHypergraph(Hypergraph Neural Networks) OpenHGNN:https://github.com/BUPT-GAMMA/OpenHGNN(Heterogeneous Graph Neural Network) HyperNetX:https://github.com/pnnl/HyperNetX(Community Detection, Clustering, Generation, Visualization) KaHyPar:https://github.com/kah...
Overall, our study provides a new perspective for discovering cancer genes and reveals previously undiscovered cancer genes. Availability and implementation DISHyper is freely available for download at https://github.com/genemine/DISHyper.doi:10.1093/bioinformatics/btae257Deng, Chao...
github.com/iMoonLab/HGN 2020-08-05 回复喜欢展开其他 2 条回复 推荐阅读 Subgraph Neural Networks论文阅读 Story这篇文章是来自NeurIPS 2020的《Subgraph Neural Networks》 [1],作者首先提出了一个新的问题:子图分类;然后设计了subgraph neural networks(SubGNN)来有效地获取子图表征。在图… Flick Gr...
先来看看上图中和vertex有关的第①个类: HyperGraph::Vertex,在g2o的GitHub上(https://github.com/RainerKuemmerle/g2o),它在这个路径...g2o/core/hyper_graph.h 这个 HyperGraph::Vertex 是个abstract vertex,必须通过派生来使用。...然后我们看g2o 类结构图中第②个类,我们看到HyperGraph::Vertex 是通过类Op...
To address this issue, this paper presents an end-to-end, bi-level pre-training strategy with Graph Neural Networks for hypergraphs. The proposed framework named HyperGene bears three distinctive advantages. First, it is capable of ingesting the labeling information when available, but more ...
Graph neural networks (GNNs) exhibit superior recommendation performance with their powerful capability of representing complex relationships. However, existing methods encounter two key challenges: (1) The high-frequency signals on graphs are momentous, but the graph convolutional networks cannot adaptively...
GEnome-scale Metabolic models (GEMs) are powerful tools to predict cellular metabolism and physiological states in living organisms. However, due to our imperfect knowledge of metabolic processes, even highly curated GEMs have knowledge gaps (e.g., missi
The source code of the hypergraph implementation is available via Github [https://github.com/ramonweber/hypergraph] and Zenodo [https://doi.org/10.5281/zenodo.13353497]. References IEA, The Critical Role of Buildings, Perspectives for the Clean Energy Transition, International Energy Agency, Paris,...