## Matern Gaussian Processes on Graphs In Python

This repo provides an extension for gpflow with MatÃ©rn kernels, inducing variables and trainable models implemented for graphs.

This repo provides an extension for gpflow with MatÃ©rn kernels, inducing variables and trainable models implemented for graphs.

A non official reimplementation of Language models are open knowledge graphs

This repository is the official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics".

NodePiece is a "tokenizer" for reducing entity vocabulary size in knowledge graphs.

Query Embedding on Hyper-Relational Knowledge Graphs

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

SysInfo is an app developed in python which gives Basic System Info , and some detailed graphs of system performance .

Unofficial TensorFlow implementation of Protein Interface Prediction using Graph Convolutional Networks.

This repository is the official implementation of How Attentive are Graph Attention Networks?.

Factor graph-based nonlinear least squares library for JAX.

Implementation for Simple Spectral Graph Convolution in ICLR 2021

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

This package facilitates the creation and rendering of graph descriptions in the DOT language of the Graphviz graph drawing software (upstream repo) from Python.

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

ModernGL is a python wrapper over OpenGL 3.3+ core that simplifies the creation of simple graphics applications like scientific simulations

Expressive Power of Invariant and Equivariant Graph Neural Networks

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.

Pyint is the graphic software which is written in Python(I use the Turtle graphics).

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network (SIGGRAPH 2020)

PyMeasure makes scientific measurements easy to set up and run.

A Python server and client application that tracks player session times and server status.

TuckER: Tensor Factorization for Knowledge Graph Completion

A PyTorch implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing"

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

This example application demonstrates how easy it is to get started with Neo4j in Python.

An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

A PyTorch implementation of Semi-Supervised Graph Classification: A Hierarchical Graph Perspective (WWW 2019)

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

This repository includes the official implementation of ElasticGNN in the paper "Elastic Graph Neural Networks" [ICML 2021].

Python Interactive Graphical System made during Computer Graphics classes (INE5420-2021.1)

DotMotif is a library that identifies subgraphs or motifs in a large graph.

Self-supervised Graph-level Representation Learning with Local and Global Structure' in PyTorch

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

Non-destructive, node-based 2D image graphics editor written in Python, focused on simplicity, speed, elegance and usability

Box is a text-based visual programming language inspired by Unreal Engine blueprint function graphs.

MetaStalk is a tool that can be used to generate graphs from the metadata of JPEG

Generation of scenes with many objects. Our method achieves better performance on such scenes than previous methods.

An Object Graph Mapper (OGM) for the neo4j graph database, built on the awesome neo4j_driver

Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network

This project aims to map popular channels on Twitch.tv in a way that feels intuitive to both viewers and streamers.

Joint Learning of 3D Shape Retrieval and Deformation.

a simple API for plotting beautiful ridgeline plots within the extensive Plotly interactive graphing environment.

FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks

Histocartography is a framework bringing together AI and Digital Pathology

Flexible tree data structures for organizing lists and dicts into sections.

Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction