simple1213

models

Models and examples built with TensorFlow

G6

♾ A Graph Visualization Framework in JavaScript.

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

HIN-Datasets-for-Recommendation-and-Network-Embedding

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

NetworkGraph

基于D3.js的Neo4j网络图可视化(Visualization of Neo4j Network Graph Based on D3.js

Social-Recommendation

Summary of social recommendation papers and codes

FINDER

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

Reinforcement-learning-on-graphs-A-survey

This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

Hierarchical-DQN

Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf

LINE

This is an implementation of LINE(Large-scale information network embedding) algorithm.

pytorch-hdqn

Hierarchical-DQN in pytorch (not actively maintained)

awesome-ml-fairness

Papers and online resources related to machine learning fairness

PyGDebias

Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms

GCOMB

ToupleGDD

Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2210.07500)

GNN-Attack-InfMax

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem

LINE

LINE: Large-scale Information Network Embedding in PyTorch

PFRec

This is the source code of PFRec

Online_Influence_Maximization_under_Linear_Threshold_Model

This repository is the official implementation of Online Influence Maximization under Linear Threshold Model.

STT

GCOMB

cs_data

国家电网计算机类资料2022

TDEM

Two-Phase Diversity Exposure Maximization

Awesome-Federated-Machine-Learning

imrl-hdqn

The implementation of DQN+HER and h-DQN algorithms performed in customized Four Rooms and CraftingWorld environments

Influence-Maximization-Reinforcement-Learning

genetic-algorithm-with-gnn

Boosting a Genetic Algorithm with Graph Neural Networks for Multi-Hop Influence Maximization in Social Networks.

TDEM_extension

Social-Influence-with-MAB

Solving the Social Influence Maximization problem with MAB algorithms