zhoushengisnoob's Stars
alibaba/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
alibaba/graph-learn
An Industrial Graph Neural Network Framework
zkqiang/hangzhou-house-guide
杭州购房指南,根据个人购房经历,总结而成的一篇买房攻略,涉及新房摇号和二手房选购,包含大量杭州城市规划资料。
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
jiawei-chen/RecDebiasing
This repository collects debiasing methods for recommendation
Philip-Bachman/amdim-public
Public repo for Augmented Multiscale Deep InfoMax representation learning
yangji9181/HNE
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
joshr17/HCL
ICLR 2021, Contrastive Learning with Hard Negative Samples
deu30303/RUC
Hzzone/ProPos
Self-Supervised Learning for Deep Clustering (TPAMI 2022)
eaglenlp/Text-Generation
DefangChen/OKDDip-AAAI2020
[AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".
eaglelab-zju/DGLD
Deep Graph Outlier Detection
EagleMIT/EMKD
The code of IEEE TMI paper Efficient Medical Image Segmentation Based on Knowledge Distillation
Raymond-sci/PICA
Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
cszhangzhen/H2MN
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
wyc-ruiker/HKD
Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"
NingMa-AI/DASTM
The official implementation of ECCV22 paper "Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition"
zhoushengisnoob/CKD
Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
eaglelab-zju/ICDMCup2022-top1
eaglelab-zju/DGLD_beta
eaglelab-zju/CIKMCup2022-top1
CIKM 2022 AnalytiCup Competition Rank 1
zhoushengisnoob/DGE
Code for AAAI 2020 Paper "DGE: Deep Generative Network Embedding Based on Commonality and Individuality"
zhoushengisnoob/DNE
Code for TOIS 2021 paper "Direction-Aware User Recommendation Based on Asymmetric Network Embedding"
EagleMIT/Hilbert-Distillation
The code repository of our NeurIPS 2022 paper "Hilbert Distillation for Cross-Dimensionality Networks"