572 Open source projects that are alternatives of or similar to Euler

A list of data mining and machine learning papers that I implemented in 2019.

A collection of important graph embedding, classification and representation learning papers with implementations.

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

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

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

A reading list for deep graph learning acceleration.

Representation Learning on Graphs with Jumping Knowledge Networks

links to conference publications in graph-based deep learning

StellarGraph - Machine Learning on Graphs

Code and resources on scalable and efficient Graph Neural Networks

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

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

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).

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Tri-Party Deep Network Representation, IJCAI-16

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Tutorials for Machine Learning on Graphs

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

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

A graph-based deep learning framework for life science

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

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

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

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Graph Neural Network Library for PyTorch

Implementation and experiments of graph embedding algorithms.

A collection of powerful data structures

A Ruby library to plot charts in PDF files

A reasonable library for modeling multi-graphs in Scala

Context-sensitive HexRays decompiler plugin that visualizes the ctree of decompiled functions.

A simple dependency graph for Node.js

An open-source graph database

Easily bind a chart to the data stored in your Vue.js components.

List of all the Interview questions practiced from online resources and books

A graph node engine and editor written in Javascript similar to PD or UDK Blueprints, comes with its own editor in HTML5 Canvas2D. The engine can run client side or server side using Node. It allows to export graphs as JSONs to be included in applications independently.

GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) and Graph Adversarial Learning with TensorFlow 2.x and PyTorch backend.

An open source cybersecurity protocol for syncing decentralized graph data.

Path finding in a graph

AWS Identity and Access Management Visualizer and Anomaly Finder

Contains demo sources for the JavaScript diagramming library yFiles for HTML

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Data Integration Graph

Vue2 dataflow graph editor

Sparkliner — easy way to make sparkline graph [Sketch plugin]

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

ATrace is a tool for tracing execution of binaries on Windows.

A service for generating GitHub-like graphs. Record and Track your habits or effort. All by API.

KaHIP -- Karlsruhe HIGH Quality Partitioning.

A graph editor framework for Unity

A curated list of network embedding techniques.

Front end visualisation of 40 common easing equations.

High-quality LeetCode solutions

Flow Visualization Library for JavaFX and VRL-Studio

Query and report user logons relations from MS Windows Security Events

Traffic Graph Convolutional Recurrent Neural Network