Kekun HU's repositories
mt-kahypar
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergraph partitioner equipped with parallel implementations of techniques employed in most sequential state-of-the-art hypergraph partitioners. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
kkhouse
有完整版的PDF下载。
kahypar
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
lambekseq
Semantic graph parser based on Categorial grammars
CapsLayer
CapsLayer: An advanced library for capsule theory
3D-UCaps
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
LCFN
Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network for Recommendation. 3. Self-propagation Graph Neural Network for Recommendation (TKDE).
PSCapsNet
A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification"
Data_Mining_Grah_Partioning
Graph Partitioning using the JA-BE-JA algorithm
KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
deep-clustering
deep clustering papers
AdaGCN
Official Implementation of AdaGCN (ICLR 2021)
LabelPropagation
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
EdMot
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Recommendation-System-Using-GNNs
This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).
KaMinPar
Shared-Memory Parallel Graph Partitioning for Large K
DHCN
Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'
GMT
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
BoT
Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
Efficient-CapsNet
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
Awesome-Distributed-Deep-Learning
A curated list of awesome Distributed Deep Learning resources.
AutoML-Tutorial
Tutorials about AutoML