Pinned Repositories
AGNN
Codes for Alternating Graph-Regularized Neural Networks (AGNN) proposed in IEEE TNNLS 2023
AMOGCN
Pytorch codes for Attributed Multi-order GCN
chenzl23.github.io
DLRGAE
Pytorch codes for DLR-GAE in AAAI 2023
DLRL
Differentiable Low-Rank Learning
DSRL
examination-system
软件工程实践 考务管理系统
FZUThesis
福州大学博士研究生毕业论文Latex模板
LGCNFF
MKLpy
A package for Multiple Kernel Learning in Python
chenzl23's Repositories
chenzl23/FZUThesis
福州大学博士研究生毕业论文Latex模板
chenzl23/LGCNFF
chenzl23/AMOGCN
Pytorch codes for Attributed Multi-order GCN
chenzl23/DLRGAE
Pytorch codes for DLR-GAE in AAAI 2023
chenzl23/DLRL
Differentiable Low-Rank Learning
chenzl23/DSRL
chenzl23/AGNN
Codes for Alternating Graph-Regularized Neural Networks (AGNN) proposed in IEEE TNNLS 2023
chenzl23/chenzl23.github.io
chenzl23/MKLpy
A package for Multiple Kernel Learning in Python
chenzl23/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
chenzl23/awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
chenzl23/s2cnn
Spherical CNNs
chenzl23/BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
chenzl23/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
chenzl23/competitive-recsys
A collection of resources for Recommender Systems (RecSys)
chenzl23/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
chenzl23/DeepRecommender
Deep learning for recommender systems
chenzl23/GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
chenzl23/Geometric-Deep-Learning-Grids-Groups-Graphs-Geodesics-and-Gauges
chenzl23/GraphData
A collection of graph data used for semi-supervised node classification.
chenzl23/HAN
Heterogeneous Graph Neural Network
chenzl23/jd_seckill
京东秒杀商品抢购
chenzl23/lie_learn
Computations involving Lie groups and harmonic analysis
chenzl23/neuralsort
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
chenzl23/pynvrtc
Python Binding to NVRTC
chenzl23/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
chenzl23/r2d2
[ICLR'19] Meta-learning with differentiable closed-form solvers
chenzl23/Sparse_autoencoder
PyTorch implementation of sparse autoencoder.
chenzl23/SPIDER-FW-M
We put the matlab code of our algorithms SVFW-M and SPIDER-FW-M in AAAI 2020 to implement the low-rank matrix completion experiment here.
chenzl23/spotlight
Deep recommender models using PyTorch.