GNN全球合作伙伴
GNN GCP (2024-06-04, Python, 0KB, 下载0次)
基于图神经网络（GNN）层的双深度Q学习（DDQL）虚函数配置（VFP）方法，
A Virtual Function Placement (VFP) Method Using Double Deep Q-Learning (DDQL) Powered by Graph Neural Network (GNN) Layers, (2023-10-26, Python, 0KB, 下载0次)
KDD 2023论文的官方实现：“金字塔图神经网络：多尺度离散的图采样和滤波方法......”...，
Official Implementation of KDD 2023 paper: "Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations" (2023-08-06, Python, 0KB, 下载0次)
通过图数据库neo4j和ChatGPT的联动合作,实现将自然语言的医疗知识材料形成知识图谱,
Through the linkage and cooperation between the map database neo4j and ChatGPT, medical knowledge materials in natural language can be formed into a knowledge map, (2023-07-28, Python, 0KB, 下载0次)
使用人工神经网络求解偏微分方程。与Anders Julton合作。，
Solving Partial Differential Equations Using Artificial Neural Networks. In collaboration with Anders Julton., (2019-12-18, Python, 0KB, 下载0次)
MOCO-GCN由两个主要组件组成：一个双视图协同训练图卷积网络（GCN）模块，用于学习...
MOCO-GCN consists of two main components: a Two-view Co-training Graph Convolutional Networks (GCNs) module that learns different omics data features by distilling knowledge from each other and a View Correlation Discovery Network (VCDN) module that integrates multi-omics data. (2023-06-02, Python, 3320KB, 下载0次)
与阿布扎比全球市场合作构建监管知识图谱
Regulatory Knowledge Graph built in collaboration with Abu Dhabi Global Market (2023-02-01, Python, 7468KB, 下载0次)
DHGE官方资源：用于链接预测和实体类型的双视图超关系知识图嵌入...
Official resources of "DHGE: Dual-view Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing" (AAAI 2023). (2023-05-16, Python, 20889KB, 下载0次)
与Neo4j合作处理HRM Parks数据-提取、清理和分析
Working with Neo4j on HRM Parks data- Extracting, Cleaning and Analysis (2020-09-03, Python, 1054KB, 下载0次)
伊特索·塔雷亚
Iteso tarea (2022-11-06, Python, 43198KB, 下载0次)
科美众筹合作平台
Comeo Crowdfunding and Cooperation Platform (2019-02-10, Python, 9193KB, 下载0次)
【IRIS-HEP研究金项目】使用等变GNN的带电粒子跟踪
[IRIS-HEP Fellowship Project] Charged Particle Tracking using Equivariant GNNs (2023-03-10, Python, 38KB, 下载0次)
用于药物-药物相互作用预测的图神经网络（与IBM Research AI合作）
Graph neural networks for drug-drug interaction prediction (with IBM Research AI) (2021-06-21, Python, 12186KB, 下载0次)
【ICLR 2023显著前5%】通过图双连通性重新思考GNN的表达能力（官方实施）
[ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation) (2023-03-31, Python, 14134KB, 下载0次)
用于基于会话的新项目推荐的双意图增强图神经网络代码WWW-23
The code of Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation , WWW-23 (2023-05-09, Python, 1707KB, 下载0次)
基于对偶图金字塔的网格神经网络
Mesh Neural Networks Based on Dual Graph Pyramids (2023-05-09, Python, 16960KB, 下载0次)
[NeurIPS 2022]用结构感知合作博弈解释图神经网络（GStarX）
[NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX) (2022-10-20, Python, 6138KB, 下载0次)
金字塔型油藏图神经网络的软件实现
Software implementation of Pyramidal Reservoir Graph Neural Networks (2022-06-14, Python, 19KB, 下载0次)
用于多视图聚类的双融合传播图神经网络
Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering (2021-09-15, Python, 172KB, 下载0次)
PyTorch实现<<TGSA:基于蛋白质-蛋白质关联的双图神经网络用于药物反应预测...
PyTorch implementation of <<TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation>> (2021-12-15, Python, 226560KB, 下载0次)