Pinned Repositories
ALGE
Repository of the paper "Precise influence evaluation in complex networks" by B. Zhu, D. Li and Q. Sun
cs224w-2021-winter-colab
cs224w（图机器学习）2021冬季课程的colab
DeepReinforcementLearning_Pytorch
Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Drug_Design_Models
This project is a reimplementation of the models introduced in the following papers: "Multiobjective de novo drug design with recurrent neural networks and nondominated sorting", "REINVENT 2.0: An AI Tool for De Novo Drug Design", "Hierarchical generation of molecular graphs using structural motifs", "Mol-CycleGAN: a generative model for molecular optimization", "Multi-objective de novo drug design with conditional graph generative model" and "Graph convolutional policy network for goal-directed molecular graph generation".
GDM
Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni
graph2vec
graph2vec
graph2vec_tf
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
pygcn
Graph Convolutional Networks in PyTorch
Zhu-BY's Repositories
Zhu-BY/ALGE
Repository of the paper "Precise influence evaluation in complex networks" by B. Zhu, D. Li and Q. Sun
Zhu-BY/graph2vec_tf
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Zhu-BY/cs224w-2021-winter-colab
cs224w（图机器学习）2021冬季课程的colab
Zhu-BY/DeepReinforcementLearning_Pytorch
Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
Zhu-BY/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Zhu-BY/Drug_Design_Models
This project is a reimplementation of the models introduced in the following papers: "Multiobjective de novo drug design with recurrent neural networks and nondominated sorting", "REINVENT 2.0: An AI Tool for De Novo Drug Design", "Hierarchical generation of molecular graphs using structural motifs", "Mol-CycleGAN: a generative model for molecular optimization", "Multi-objective de novo drug design with conditional graph generative model" and "Graph convolutional policy network for goal-directed molecular graph generation".
Zhu-BY/GDM
Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni
Zhu-BY/graph2vec
graph2vec
Zhu-BY/Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
Zhu-BY/pygcn
Graph Convolutional Networks in PyTorch
Zhu-BY/PyTorch-GNNs
The implement of GNN based on Pytorch
Zhu-BY/pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Zhu-BY/RGTN-NIE
Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation