sethGu's Stars
yixinliu233/D2PT
[KDD'23] Learning Strong Graph Neural Networks with Weak Information
zhao-tong/GAug
AAAI'21: Data Augmentation for Graph Neural Networks
sycny/GiGaMAE
PyTorch implementation for 'GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction'
kaize0409/awesome-few-shot-gnn
An index of algorithms for few-shot learning/meta-learning on graphs
facebookresearch/classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
LFhase/CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
yixinliu233/G-OOD-D
[WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
LiLittleCat/awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
yizhe-ang/AdaMatch-PyTorch
Unofficial PyTorch Implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
yaoyao-liu/few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
Evgeneus/Graph-Domain-Adaptaion
PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
ShuoYang-1998/Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
takeshi-teshima/few-shot-domain-adaptation-by-causal-mechanism-transfer
Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
yue-zhongqi/ifsl
[NeurIPS 2020] Released code for Interventional Few-Shot Learning
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
huaxiuyao/GFL
GFL for AAAI 2020
benedekrozemberczki/FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
lvjiaqi77/PRODEN
Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
Sean-Huang65/AUX-TS
official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
ASKCOS/ASKCOS
Software package for computer aided synthesis planning
cdarlint/winutils
winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows
TrustAGI-Lab/CoLA
[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
TianjinYellow/GAE-AT
On Generalization of Graph Autoencoders with Adversarial Training[ECML2021]
WangWenhao0716/DomainMix
[BMVC 2021] The official implementation of "DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations"
LYuhang/GNN_Review
GNN综述阅读报告
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)