Library to implement graph neural networks in PyTorch

Implementation of Graph Auto-Encoders in TensorFlow

Graph Convolutional Networks in PyTorch

How Powerful are Graph Neural Networks?

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

This is a python implementation of code2vec (https://arxiv.org/pdf/1803.09473.pdf) that uses TensorFlow2.1

Tensorflow Faster RCNN for Object Detection

A faster pytorch implementation of faster r-cnn

This repo includes the source code and dataset information for reproducing the results of our paper (https://arxiv.org/abs/2009.06435)

Open-source simulator for autonomous driving research.

[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

Python-based Hardware Design Processing Toolkit for Verilog HDL

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

A parser for Google Scholar, written in Python

A data specification to enable right-of-way regulation, digital policy, geofencing, and two-way communication between mobility companies and public agencies worldwide for any regulated, shared vehi…

Several data modalities for KBs (visual, numerical, temporal, etc.)

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

A scikit-learn compatible library for graph kernels

🐍 Python Implementation and Extension of RDF2Vec

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

3D Graphics in Python with Open Inventor

Deep Code Curation

Python library for knowledge graph embedding and representation learning.

Most comprehensive blackjack simulator ever