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grad_cam_plus_plus

A generalized gradient-based CNN visualization technique

grakn

The Knowledge Graph

gram

Graph-based Attention Model

grammar-activity-prediction

Code for ICCV2017 - Predicting Human Activities Using Stochastic Grammar.

grammarcnn

A CNN model for code generation.

grammarvae

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graph-algorithms-notebooks

Jupyter notebooks showing how to use Neo4j Graph Algorithms

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-cnn-in-3d-point-cloud-classification

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

graph-pde

Using graph network to solve PDEs

graph-pointer-network

graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification

graph-visualization

3D graph visualization with WebGL / Three.js

graph-work

Graph Convolutional Networks (GCNs)

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graph2vec_tf

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

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graph4nlp_demo

This repo is to present various code demos on how to use our Graph4NLP library.

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

graphcm

graphctr

This repo includes some graph-based CTR prediction models and other representative baselines.

graphformers

graphite-web

A highly scalable real-time graphing system

graphlstm_release

Implementation of TACL 2017 paper: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih.

graphnn

Training computational graph on top of structured data (string, graph, etc)

graphreduce

A graph-based text summarizer

graphrnn

graphsage

Representation learning on large graphs using stochastic graph convolutions.