kg-cc

kg-cc's Stars

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k776

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k9.5k

• Khamies/LSTM-Language-Generator

  A Pytorch LSTM Language model trained on Penn Tree Bank Dataset.

  Language:Python21

• DuanhaoranCC/VMA

  The source code of Neural Networks (NN2023) paper VMA.

  Language:Python2

• DuanhaoranCC/HeCo-Pyg

  Language:Python1

• DuanhaoranCC/GraphMVM

  The source code of IEEE Transactions on Artificial Intelligence (TAI 2024) paper GraphMVM.

  Language:Python2

• DuanhaoranCC/GraphCMAE

  Language:Python1

• DuanhaoranCC/DMP

  Language:Python1

• DuanhaoranCC/RMR

  The source code of KDD2024 paper RMR.

  Language:Python4

• BUPT-GAMMA/OpenHGNN

  This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

  Language:Python867143

• linbang/Metapath2vec

  使用DGL和pytorch实现metapath2vec

  Language:Jupyter Notebook479

• TrustAGI-Lab/Awesome-Graph-Neural-Networks

  Paper Lists for Graph Neural Networks

  2.2k387

• iMoonLab/DeepHypergraph

  A pytorch library for graph and hypergraph computation.

  Language:Python66364

• PaddlePaddle/PaddleHelix

  Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

  Language:Python1k226

• YangLing0818/VQGraph

  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

  Language:Python809

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  3k250

• THUDM/GraphMAE2

  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

  Language:Python14115

• LirongWu/FF-G2M

  Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework"

  Language:Python213

• ycjing/AmalgamateGNN.PyTorch

  PyTorch implementation of AmalgamateGNN (CVPR'21)

  Language:Python19

• snudatalab/MustaD

  Compressing Deep Graph Convolution Network with Multi-Staged Knowledge Distillation (PLOS ONE)

  Language:Python63

• meettyj/NOSMOG

  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".

  Language:Python2911

• chr26195/PMLP

  This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", which is accepted to ICLR 2023.

  Language:Python83

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k452

• Wuyxin/DIR-GNN

  Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

  Language:Python12016

• starwingChen/YNU-xk_spider

  云南大学选课爬虫，提供余课提醒服务，实现了自动抢课

  Language:Python5518

• YNUSharedHub/YNUSharePlatform

  这是一个云南大学课程资源共享仓库，内容包括但不限于：平时作业答案、历年试卷、复习资料、选课攻略。

  152

• DongkiKim95/D-SLA

  Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)

  Language:Python162

• qitianwu/GraphOOD-EERM

  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

  Language:Python829

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python89896

• ChandlerBang/GTrans

  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

  Language:Python545