zezewww

zezewww's Stars

• Whale2021/Dataset

  The datasets collected from Didi Chuxing and NASDAQ.

  1111

• joshuap233/Operating-Systems-Three-Easy-Pieces-NOTES

  操作系统导论(ostep)笔记/课后习题答案/附加代码

  Language:Python460116

• mlc-ai/mlc-zh

  Language:Python58363

• slingling/MS-HGAT

  Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction

  Language:Python322

• AkariAsai/self-rag

  This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

  Language:Python1.7k156

• jzbjyb/FLARE

  Forward-Looking Active REtrieval-augmented generation (FLARE)

  Language:Python56652

• StatsDLMathsRecomSys/Inductive-representation-learning-on-temporal-graphs

  Language:Python28461

• BUPT-GAMMA/MetaDyGNN

  Language:Python224

• april-tools/gekcs

  How to Turn Your Knowledge Graph Embeddings into Generative Models

  Language:Python394

• DUOMO/TransGPT

  Language:Python70177

• THUMNLab/awesome-large-graph-model

  Papers about large graph models.

  24315

• ZJU-DAILY/MetaKG

  Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

  Language:Python538

• VITA-Group/Orthogonality-in-CNNs

  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

  Language:Python12628

• cvignac/DiGress

  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

  Language:Python33775

• ICT-GIMLab/SeHGNN

  Language:Python9216

• microsoft/Cream

  This is a collection of our NAS and Vision Transformer work.

  Language:Python1.6k225

• layer6ai-labs/WinIT

  Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"

  Language:Jupyter Notebook182

• vijaydwivedi75/gnn-lspe

  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

  Language:Python23635

• opallab/Effects-of-Graph-Convs-in-Deep-Nets

  Language:Jupyter Notebook1

• mpvnet-player/mpv.net

  🎞 mpv.net is a media player for Windows with a modern GUI.

  Language:C#3.4k161

• CongWeilin/GraphMixer

  Language:Python907

• telmo-correa/all-of-statistics

  Self-study on Larry Wasserman's "All of Statistics"

  Language:Jupyter Notebook958274

• DHGPNTM/DHGPNTM

  A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction

  Language:Python2

• snap-stanford/ogb

  Benchmark datasets, data loaders, and evaluators for graph machine learning

  Language:Python1.9k397

• susheels/tgrank

  Language:Python52

• CRIPAC-DIG/A-PGNN

  [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"

  Language:Python7913

• CRIPAC-DIG/DGSR

  [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"

  Language:Python6113

• CRIPAC-DIG/DGCF

  [ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."

  Language:Python426

• melifluos/subgraph-sketching

  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486

  Language:Python8814

• wujcan/SGL-Torch

  SGL PyTorch version

  Language:Python10014