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asne

Tensorflow implementation of Attributed Social Network Embedding framework (ASNE)

autogpt-test

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-graph-embedding

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

awesome-network-embedding

A curated list of network embedding techniques.

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

books

causalityeventextraction

Causality event extraction demo project including casual patterns and experiment on large scale corpus. 基于因果关系知识库的因果事件图谱实验项目，本项目罗列了因果显式表达的几种模式，基于这种模式和大规模语料，再经过融合等操作，可形成因果事件图谱。

coding-interview-university

A complete computer science study plan to become a software engineer.

cudnn

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data

dataset

deep-learning-ocean

:satellite: All You Need to Know About Deep Learning - A kick-starter

deepwalk

DeepWalk - Deep Learning for Graphs

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dtgh

eann-kdd18

EANN: event-adversarial neural networks for multi-modal fake news detection

first-steps-towards-deep-learning

This is an open sourced book on deep learning.

gaojunruo.github.io

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gnnpapers

Must-read papers on graph neural networks (GNN)

gpf

GPF（Graph Processing Flow）：利用图神经网络处理问题的一般化流程

graph-based-nn

Graph Convolutional Networks (GCNs)

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

graph2vec_tf

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

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

karategcn

A pytorch implement for GCN on Zachary’s karate club dataset.

knowledge-graph-demo

知识图谱的小demo

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.