PyTorch implementations of Generative Adversarial Networks.

[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Repository for benchmarking graph neural networks

An Open-Source Package for Knowledge Embedding (KE)

Machine learning metrics for distributed, scalable PyTorch applications.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs (authors' implementation for the TACL20 paper)

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Linear SVM with PyTorch

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Pytorch implementation of Graph U-Nets (ICML19)

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch neural network attention mechanism

PyTorch original implementation of Cross-lingual Language Model Pretraining.

An Open-Source Package for Network Embedding (NE)

Asynchronous implementation of DQN algorithm in PyTorch

Graph Neural Network Library for PyTorch

An Industrial Graph Neural Network Framework

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

KaHIP -- Karlsruhe HIGH Quality Partitioning.

复杂网络社区发现算法、评价指标、常用数据集整理

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Google Research

PyTorch tutorials.

Louvain Community Detection