KXDY233

KXDY233's Stars

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python2.8k323

• oliverguhr/transformer-time-series-prediction

  proof of concept for a transformer-based time series prediction model

  Language:Python1.2k235

• gregrahn/join-order-benchmark

  Join Order Benchmark (JOB)

  27884

• andreaskipf/learnedcardinalities

  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)

  Language:Python10752

• greatji/Learning-based-cost-estimator

  Language:Jupyter Notebook5623

• TsinghuaDatabaseGroup/AIDB

  ai4db and db4ai work

  61884

• tmrod/hodgenet

  Language:Python23

• Gabe-YHLee/IRVAE-public

  Language:Jupyter Notebook224

• amzn/pecos

  PECOS - Prediction for Enormous and Correlated Spaces

  Language:Python502103

• jwzhanggy/Graph_Toolformer

  Language:Python23125

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  16.4k1.3k

• qbxlvnf11/graph-neural-networks-for-graph-classification

  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification

  Language:Python8922

• skojaku/core-periphery-detection

  Python package for detecting core-periphery structure in networks.

  Language:Python455

• broshanfekr/Active-Semi-Supervised-Learning-Using-Sampling-Theory-for-Graph-signals

  Language:Jupyter Notebook2

• GuyAllard/markov_clustering

  markov clustering in python

  Language:Python16337

• asFeng/kergnns

  Language:Python2910

• jajupmochi/graphkit-learn

  A python package for graph kernels, graph edit distances, and graph pre-image problem.

  Language:Jupyter Notebook12219

• diningphil/gnn-comparison

  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

  Language:Python37652

• sawlani/A-DOGE

  Attributed Density of States based Graph Embedding

  Language:MATLAB51

• unonao/pyDOS

  Network density of states in Python3

  Language:Jupyter Notebook1

• ParAlg/gbbs

  GBBS: Graph Based Benchmark Suite

  Language:C++19458

• ivam-he/ChebNetII

  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

  Language:Python287

• LetTTGACO/elog

  Markdown 批量导出工具、开放式跨平台博客解决方案，随意组合写作平台(语雀/Notion/FlowUs/飞书/我来Wolai)和博客平台(Hexo/Vitepress/Halo/Confluence/WordPress等)

  Language:TypeScript1.2k60

• Samiisd/netflow2graph

  Netflow To Graph

  Language:Jupyter Notebook61

• vijaydwivedi75/gnn-lspe

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

  Language:Python23233

• radinhamidi/Subgraph-Representation-Learning-for-Team-Mining

  Language:Jupyter Notebook1

• kkteru/grail

  Inductive relation prediction by subgraph reasoning, ICML'20

  Language:Python21356

• Xi-yuanWang/GLASS

  GLASS: GNN with Labeling Tricks for Subgraph Representation Learning

  Language:Python286

• facebookresearch/SEAL_OGB

  An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

  Language:Python22058

• melifluos/subgraph-sketching

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

  Language:Python8814