wubo2180

wubo2180's Stars

• vectara/hallucination-leaderboard

  Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

  Language:Python1.2k44

• sangyx/gtrick

  Bag of Tricks for Graph Neural Networks.

  Language:Jupyter Notebook27519

• thepirat000/spleeter-api

  Audio separation API using Spleeter from Deezer

  Language:C#10621

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python25.6k2.8k

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k422

• qingmeiwangdaily/HCL_TPP

  Hierarchical Contrastive Learning for Temporal Point Processes

  Language:Python211

• FelixOpolka/STGCN-PyTorch

  🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

  Language:Python33070

• weihua916/powerful-gnns

  How Powerful are Graph Neural Networks?

  Language:Python1.2k222

• GestaltCogTeam/BasicTS

  A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

  Language:Python50289

• guoshnBJTU/ASTGNN

  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

  Language:Python17175

• chnsh/DCRNN_PyTorch

  Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

  Language:Python432110

• GestaltCogTeam/D2STGNN

  Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

  Language:Python15416

• GestaltCogTeam/STEP

  Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

  Language:Python32735

• LiuAoyu1998/STIDGCN

  Language:Python5010

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.2k390

• THUDM/GraphSGAN

  Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.

  Language:Python8520

• pygod-team/data

  Data repository for PyGOD

  352

• TrustAGI-Lab/ANEMONE

  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".

  Language:Python4612

• pygod-team/pygod

  A Python Library for Graph Outlier Detection (Anomaly Detection)

  Language:Python1.3k127

• Shen-Lab/GraphCL

  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

  Language:Python546103

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.7k7.8k

• RUCAIBox/GMPT

  [SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".

  Language:Python173

• vnpy/vnpy

  基于Python的开源量化交易平台开发框架

  Language:Python24.4k8.6k

• GentleZhu/EGI

  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')

  Language:Python225

• 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

  Language:Python1.1k118

• DSE-MSU/DeepRobust

  A pytorch adversarial library for attack and defense methods on images and graphs

  Language:Python966191

• hongyuanmei/nce-mpp

  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).

  Language:Python151

• junxia97/SimGRACE

  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

  Language:Python756

• junxia97/awesome-pretrain-on-molecules

  [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

  47750

• Shen-Lab/SS-GCNs

  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

  Language:Python10727