750 Open source projects that are alternatives of or similar to graphml-tutorials

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

A distributed graph deep learning framework.

Graph convolutional neural network for multirelational link prediction

Representation Learning on Graphs with Jumping Knowledge Networks

Summary of open source code for deep learning models in the field of traffic prediction

StellarGraph - Machine Learning on Graphs

links to conference publications in graph-based deep learning

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Using efficientnet to provide embeddings for retrieval

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Code and resources on scalable and efficient Graph Neural Networks

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

A reading list for deep graph learning acceleration.

An index of recommendation algorithms that are based on Graph Neural Networks.

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Awesome Graph Self-Supervised Learning

Graph Neural Network Library for PyTorch

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Subgraph Neural Networks (NeurIPS 2020)

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

TensorFlow 2.0 Various notes and tutorials

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

A spherical CNN for weather forecasting

Step by step guide for various components in android

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

A curated collection of annotated code examples from prominent open-source projects

Pytorch differentiable molecular dynamics

so that stuff read/seen don't get muddled up with time

A self-reliant tutorial on Structure-from-Motion

NetworkX-based Python library for representing ontologies

Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

This is code that we will cover in my Hacking the Humanities class at Leiden University. Video tutorials will be uploaded to my YouTube channel at https://www.youtube.com/channel/UCSarHXwz_HKtiZ3vNTX1rfw

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

Workshop: Micromagnetics with Ubermag

R Tutorials

A library for graph analysis written Julia.

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

A set of tutorials for Knative Build

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

Official adversarial mixup resynthesis repository

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

AAAI'21: Data Augmentation for Graph Neural Networks

Markov random fields with covariates

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Documentation about using Unity (c#) with Haxe

Project is in active development and has been moved to the EthereumJS VM monorepo.

CSKG: The CommonSense Knowledge Graph

Simple nlp chatbot