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awesome-expressive-gnn

A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)

blog

personal blog posts

btcpredictor

Bitcoin price prediction algorithm using bayesian regression techniques

chrome_extension_learn

clrs

:notebook:Solutions to Introduction to Algorithms

cpa

Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

cs-61b

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

csc74011

Assignment Codes for CSC74011 Artificial Intelligence

cyber-markets

🚀 Toolchain for parsing of orders and trades

dgcnn

dgx-wiki

Wiki for using of DGX station

diffusionerroranalyzer

Python class to calculate ionic conductivity and its statistical error with AIMD data input

dl4mt-tutorial

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

fastai

The fast.ai deep learning library, lessons, and tutorials

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

gensim

Topic Modelling for Humans

geometric-gnns

List of Geometric GNNs for 3D atomic systems

geometry-deep-learning-for-drug-discovery

Geometry Deep Learning for Drug Discovery and Life Science

graph-kernel-suite

Collection of several graph kernel methods (Borgwardt and Kriegel, ICDM 2005) http://goo.gl/vXqcSP, (Shervashidze et al., 2009) http://goo.gl/4RfRNm, (Vishwanathan et al. JMLR 2010) http://goo.gl/3gJLwt, (Shervashidze et al., JMLR 2011) http://goo.gl/Fg2k6C

graph2vec_tf

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

hpc-wiki-v2

The HPC wiki written in reStructuredText and hosted on ReadTheDocs

iclr2019

Reproduction of How Powerful are Graph Neural Networks? paper from ICLR 2019

icml-2017-papers

https://2017.icml.cc/Conferences/2017/Schedule

interesting-dl-materials

List of Interesting Deep Learning Materials

intermediatepython

ipfs

Peer-to-peer hypermedia protocol