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gnn-comparison

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

gntp

google-research

Google Research

grace

PyTorch implementation of "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131).

graph-neural-networks-for-graph-classification

A PyTorch implementation of various Graph Neural Networks (GNNs) for graph classification

graph2vec_tf

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

graph_neighborhood_1

First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphsage_rl

Advancing GraphSAGE with A Data-driven Node Sampling

graphwriter

Code for "Text Generation from Knowledge Graphs with Graph Transformers"

grin

Code for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks"

gru-d

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

gtos

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

gym-fx

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

gym-mtsim

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

gym-trading

Environment for reinforcement-learning algorithmic trading models

han

Heterogeneous Graph Neural Network

hazmatrouting

Automatically exported from code.google.com/p/hazmatrouting

hcbr

Hypergraph Case-Based Reasoning

hetsann

Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.

hetvae

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

hge

hgnn

Hypergraph Neural Networks (AAAI 2019)

hgnn-1

Hyperbolic Graph Neural Networks

high-resolution-moonnet

Identify lunar features for energy discovery via deep learning method

hinge_code

histoseg

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

hlta

Provides functions for hierarchical latent tree analysis on text data for hierarchical topic detection