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How Powerful are Graph Neural Networks? deep-learninggraph-neural-networksgraph-convolutional-neural-networks UpdatedJul 1, 2021 Python SuperBruceJia/EEG-DL Star948 Code Issues Pull requests Discussions A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. ...
Box Graph: Spontaneous Social Network at Box PricingNet: Pricing Modelling with Neural Networks at Skyscanner PinText: Multitask Text Embedding System at Pinterest SearchSage: Learning Search Query Representations at Pinterest Cannes: ML saves $1.7M a year on document previews at Dropbox ...
-Reporting Security Issues and Responsible Disclosure -Contributing -Platform, Build and Deployment Status -License Certifications freeCodeCamp.org offers several free developer certifications. Each of these certifications involves building 5 required web app projects, along with hundreds of optional coding ...
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu,Zuobai Zhang,Louis-Pascal Xhonneux,Jian Tang A PyG re-implementation of NBFNet can be foundhere. Overview NBFNet is a graph neural network framework inspired by traditional path-based methods...
Graph-neural-networks 图(graph)是一种数据格式,它可以用于表示社交网络、通信网络、蛋白分子网络等, 图中的节点表示网络中的个体,连边表示个体之间的连接关系。 许多机器学习任务例如社团发现、链路预测等都需要用到图结构数据, 因此图卷积神经网络的出现为这些问题的解决提供了新的思路。
https://github.com/Jhy1993/Representation-Learning-on-Heterogeneous-Graph HAN The source code of Heterogeneous Graph Attention Network (WWW-2019). The source code is based onGAT Reference If you make advantage of the HAN model or use the datasets released in our paper, please cite the following...
Train Membership Inference attacker (Optional)We use the model inMembership Inference Attack on Graph Neural Networksas our MI model. Please refer to theofficial implementation. UnlearnThen we can delete information from the trained GNN model. Based on what you want to delete, run one of the thr...
Graph Neural Networks: A Review of Methods and Applications. AI Open 2020. paper Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun. A Comprehensive Survey on Graph Neural Networks. arxiv 2019. paper Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhan...
11 Commits lds_gnn LICENSE.txt README.md illustration method.PNG setup.py README License LDS-GNN This is the accompany python package for the ICML 2019 paperLearning Discrete Structures for Graph Neural Networks It implements the methodLDSand its variantKNN-LDSand reproduces experiments reported in...