zezewww's Stars
Whale2021/Dataset
The datasets collected from Didi Chuxing and NASDAQ.
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
mlc-ai/mlc-zh
slingling/MS-HGAT
Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction
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.
jzbjyb/FLARE
Forward-Looking Active REtrieval-augmented generation (FLARE)
StatsDLMathsRecomSys/Inductive-representation-learning-on-temporal-graphs
BUPT-GAMMA/MetaDyGNN
april-tools/gekcs
How to Turn Your Knowledge Graph Embeddings into Generative Models
DUOMO/TransGPT
THUMNLab/awesome-large-graph-model
Papers about large graph models.
ZJU-DAILY/MetaKG
Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
VITA-Group/Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
cvignac/DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
ICT-GIMLab/SeHGNN
microsoft/Cream
This is a collection of our NAS and Vision Transformer work.
layer6ai-labs/WinIT
Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
vijaydwivedi75/gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
opallab/Effects-of-Graph-Convs-in-Deep-Nets
mpvnet-player/mpv.net
🎞 mpv.net is a media player for Windows with a modern GUI.
CongWeilin/GraphMixer
telmo-correa/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
DHGPNTM/DHGPNTM
A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
susheels/tgrank
CRIPAC-DIG/A-PGNN
[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"
CRIPAC-DIG/DGSR
[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
CRIPAC-DIG/DGCF
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
melifluos/subgraph-sketching
code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
wujcan/SGL-Torch
SGL PyTorch version