neunms

neunms's Stars

• neunms/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.

  15822

• EnnengYang/Awesome-Forgetting-in-Deep-Learning

  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

  25711

• RingBDStack/SUGAR

  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"

  Language:Python546

• FFrankyy/FINDER

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

  Language:Python19246

• BUPT-GAMMA/OpenHGNN

  This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

  Language:Python882147

• logseminar/Schedule

  Schedule for learning on graphs seminar

  1115

• sangyx/gtrick

  Bag of Tricks for Graph Neural Networks.

  Language:Jupyter Notebook28719

• snap-stanford/GraphGym

  Platform for designing and evaluating Graph Neural Networks (GNN)

  Language:Python1.7k187

• snap-stanford/neural-subgraph-learning-GNN

  Language:Jupyter Notebook34665

• mims-harvard/decagon

  Graph convolutional neural network for multirelational link prediction

  Language:Jupyter Notebook454142

• alibaba/GraphScope

  🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

  Language:C++3.3k447

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k781

• vuptran/graph-representation-learning

  Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

  Language:Python25467

• LYuhang/GNN_Review

  GNN综述阅读报告

  Language:Jupyter Notebook889214