Code and data associated with the upcoming PLoS Comp Bio paper about targeted immunization strategies using incomplete network data

A cost-effective approach to identify multiple influential spreaders based on cycle structure in networks

codes for paper named influential nodes identification in complex network via information entropy

张量分解算法整理

DrBC: A novel graph neural network approach to identify high Betweenness Centraliy (BC) nodes ( CIKM'19 )

Representation learning on large graphs using stochastic graph convolutions.

💉 Multilevel Approaches for the Critical Node Problem

links to conference publications in graph-based deep learning

Intro to Reinforcement Learning (强化学习纲要）

Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Domenico, James P. Gleeson, Hernán A. Makse, Giuseppe Mangioni…

Topology-based heuristics for critical nodes identification

基于深度强化学习的复杂网络节点影响力排序算法

PyTorch implementation of FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)

Memetic Search for Identifying Critical Nodes in Sparse Graphs

The relevant data and codes of our ISCAS2023 work "Impact of Structure of Network Based Data on Performance of Graph Neural Networks".

The relevant codes of our work "Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multi-Objective Optimization".

An attempt to solve/improve traffic jam by using network algorithm (Ford-Fulkerson).

Optimizing Wireless Underground Sensor Network lifetime using k-means, maximum flow and genetic algorithms

The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)

Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Optimization models using various solvers

[NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, and Sijia Liu

Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs