Pinned Repositories
-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
DGRLPapers
Papers on Dynamic Graph Representation Learning
node2vec
RecommenderSystems
推荐系统
RecomSysPaper
Papers on recommender system
liukangling's Repositories
liukangling/OpenNE
An Open-Source Package for Network Embedding (NE)
liukangling/RecomSysPaper
Papers on recommender system
liukangling/IntelliLight
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
liukangling/mmkb
Several data modalities for KBs (visual, numerical, temporal, etc.)
liukangling/deepwalk
DeepWalk - Deep Learning for Graphs
liukangling/-O2O-auc-0.80208
liukangling/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
liukangling/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network
liukangling/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
liukangling/NRI
Neural relational inference for interacting systems - pytorch
liukangling/Know-Evolve
Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"
liukangling/ATRank
An Attention-Based User Behavior Modeling Framework for Recommendation
liukangling/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
liukangling/CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
liukangling/TensorFlow-Examples
TensorFlow examples for new learners
liukangling/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
liukangling/models
Models and examples built with TensorFlow
liukangling/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
liukangling/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
liukangling/ecosystem
Integration of TensorFlow with other open-source frameworks
liukangling/node2vec
liukangling/STWalk
Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"
liukangling/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
liukangling/NRLPapers
Must-read papers on network representation learning (NRL)/network embedding (NE)
liukangling/AANE_Python
Accelerated Attributed Network Embedding, SDM 2017
liukangling/LANE
Label Informed Attributed Network Embedding, WSDM 2017
liukangling/ecc
Edge-Conditioned Convolutions on Graphs
liukangling/Temporal-Network-Embedding
The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots
liukangling/networkx
Official NetworkX source code repository.
liukangling/Dynamic-Graph-Embedding-for-Fault-Detection