liukangling Goto Github PK

-o2o-auc-0.80208

aane_python

Accelerated Attributed Network Embedding, SDM 2017

anti_money

金融

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

autograd

Efficiently computes derivatives of numpy code.

bert

TensorFlow code and pre-trained models for BERT

blustl

BluSTL (pronounced "blue steel") is a MATLAB toolkit for automatically generating hybrid controllers from specifications written in Signal Temporal Logic.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

constructing_unified_graph_representation_from_multiple_views-

Stream Project

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

cvxpy

A Python-embedded modeling language for convex optimization problems.

daisyrec

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

datnetsci_journalclub

Student-ran journal club meeting to discuss the latest published research in the field

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network

deepinterestnetwork

deeppath

code and docs for the paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

deepwalk

DeepWalk - Deep Learning for Graphs

dgrlpapers

Papers on Dynamic Graph Representation Learning

dngr

Source Code of DNGR

dynamic-graph-embedding-for-fault-detection

dynamicgraphs

Bit stream representation of dynamic graphs

ecc

Edge-Conditioned Convolutions on Graphs

ecosystem

Integration of TensorFlow with other open-source frameworks

euler

A distributed graph deep learning framework.

fsvt

fast randomized SVD and its application to SVT algorithm

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gnnpapers

Must-read papers on graph neural networks (GNN)

graphblas

SuiteSparse:GraphBLAS: graph algorithms in the language of linear algebra. To use the production version, be sure to use the (default) STABLE branch. Code development is on the (non-default) MASTER branch. See also the tagged releases.

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)