zcrwind

awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

ChemTS

Molecule Design using Monte Carlo Tree Search with Neural Rollout

cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

curiosity-driven-exploration-pytorch

Curiosity-driven Exploration by Self-supervised Prediction

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Event2vec

Representation Learning for Heterogeneous Information Networks via Embedding Events

Feature-Generating-Networks-for-ZSL

This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).

GAM

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

GANimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

GNNPapers

google-research

Google AI Research

grammarVAE

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

GraphGAN

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

HEER

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

iclr19-graph2graph

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

imitation

Code for the paper "Generative Adversarial Imitation Learning"

lgcn

molecule_generator

Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)

MolGAN

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

NerveNet

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

ovilia.github.io

Ovilia's personal site

Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

REINVENT

Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning

rl_graph_generation

sp-aen.cvpr18

Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

TPN

Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

Zero-Shot-Action-Recognition-with-Two-Stream-GCN

I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs