wubo2180's Stars
vectara/hallucination-leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
sangyx/gtrick
Bag of Tricks for Graph Neural Networks.
thepirat000/spleeter-api
Audio separation API using Spleeter from Deezer
deezer/spleeter
Deezer source separation library including pretrained models.
dragen1860/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
qingmeiwangdaily/HCL_TPP
Hierarchical Contrastive Learning for Temporal Point Processes
FelixOpolka/STGCN-PyTorch
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch
weihua916/powerful-gnns
How Powerful are Graph Neural Networks?
GestaltCogTeam/BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
guoshnBJTU/ASTGNN
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
chnsh/DCRNN_PyTorch
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
GestaltCogTeam/D2STGNN
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
GestaltCogTeam/STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
LiuAoyu1998/STIDGCN
liyaguang/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
THUDM/GraphSGAN
Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.
pygod-team/data
Data repository for PyGOD
TrustAGI-Lab/ANEMONE
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
Shen-Lab/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
google-research/google-research
Google Research
RUCAIBox/GMPT
[SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".
vnpy/vnpy
基于Python的开源量化交易平台开发框架
GentleZhu/EGI
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
MLNLP-World/AI-Paper-Collector
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
hongyuanmei/nce-mpp
Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
junxia97/SimGRACE
[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
junxia97/awesome-pretrain-on-molecules
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
Shen-Lab/SS-GCNs
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen