hookk

hookk's Stars

• h305142/USTC-CS-Courses-Resource

  :heart:**科学技术大学计算机学院课程资源(https://mbinary.coding.me/ustc-cs/)

  Language:C++1

• h305142/Operating-System-2018

  2018 Course Information about OS of USTC

  11

• Graph-Learning-Benchmarks/gli

  🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!

  Language:Python4220

• Bollegala/svdmi

  Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.

  Language:Python248

• HanjoPurebuddha/sparse_ppmi

  Create a sparse scipy PPMI (Positive-Pointwise Mutual Information) matrix from a sparse scipy matrix of integers. Based on code from svdmi: https://github.com/Bollegala/svdmi/blob/master/src/svdmi.py

  Language:Python1

• brandeis-machine-learning/Graph-Label-invariant-Augmentation

  Source Code for "Label-invariant Augmentation for Semi-Supervised Graph Classification"

  Language:Python71

• sjcfr/GraphBert

  Language:Python142

• gasteigerjo/ppnp

  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

  Language:Jupyter Notebook31653

• achalagarwal/gcn-lpa

  experimenting with gcn and exact label propagation vs gcn and edge lpa

  Language:Jupyter Notebook3

• narayanan2004/GraphMat

  GraphMat graph analytics framework

  Language:C++10141

• jwzhanggy/Graph-Bert

  Source code of Graph-Bert

  Language:Python48085

• skepsun/SAGN_with_SLE

  Language:Python364

• victorchen96/ReNode

  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".

  Language:Python558

• LirongWu/GraphMixup

  Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

  Language:Python226

• aryanasadianuoit/Distilling-Knowledge-via-Intermediate-Classifiers

  Distilling Knowledge via Intermediate Classifiers

  Language:Python157

• Evgeneus/Graph-Domain-Adaptaion

  PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

  Language:Python9918

• safakgur/guard

  A high-performance, extensible argument validation library.

  Language:C#71056

• ivam-he/ChebNetII

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

  Language:Python307

• THUDM/GraphMAE

  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

  Language:Python46774

• LeifYaoYuXiang/GraphMAE_PyG

  GraphMAE in Torch_Geometric

  Language:Python91

• jianhao2016/GPRGNN

  Language:Python13129

• hazdzz/ChebyNet

  The PyTorch version of ChebyNet.

  Language:Python337

• RexYing/Rex-Ying-Thesis

  Rex Ying's Ph.D. Thesis, Stanford University

  40

• JunzWu/Distilling-the-Knowledge-in-a-Neural-Network

  Language:Shell31

• xeanzheng/CSKD

  Codes for ECCV2020 paper "Improving Knowledge Distillation via Category Structure".

  Language:Python104

• NVIDIA/DALI

  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

  Language:C++5.1k619

• cf020031308/ResLPA

  Label Propagation With Residual Learning

  Language:Python21

• ShortVideoRecommendation/NGAT4Rec

  NGAT4Rec: Neighbor-Aware Graph Attention Network ForRecommendation

  Language:Python156

• ShortVideoRecommendation/Kuaishou-Video

  Kuaishou Short-Video dataset for recommendation tasks.

  61

• megvii-research/mdistiller

  The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

  Language:Python803123