Pinned Repositories
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
block
An intelligent block matrix library for numpy, PyTorch, and beyond.
blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
GCN-LPA
A tensorflow implementation of GCN-LPA
graph-pooling-papers
Papers on Graph Pooling (GNN-Pooling)
HadoopIntellijPlugin
IntelliJ IDEA Plugin for Hadoop
PaRMAT
Multi-threaded Large-Scale RMAT Graph Generator.
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
THU-DeepHypergraph
A pytorch library for hypergraph learning.
WASP-Graph-Partitioner
hookk's Repositories
hookk/AirGNN
hookk/awesome-attention-based-gnns
A collection of resources on attention-based graph neural networks
hookk/awesome-gnn
A list for GNNs and related works.
hookk/Awesome-RSPapers
Recommender System Papers
hookk/ChebNetII
PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
hookk/CLNode
hookk/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.
hookk/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
hookk/Distributed-DeepGCNs
Distributed Training for DeepGCNs: https://www.deepgcns.org
hookk/DropEdge
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
hookk/gnn-comparison
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
hookk/GraCapsNet
A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition
hookk/Graph-based-Knowledge-Distillation
Graph based Knowledge Distillation: A Survey
hookk/Graph-Bert-1
Source code of Graph-Bert
hookk/Graph-Label-invariant-Augmentation
Source Code for "Label-invariant Augmentation for Semi-Supervised Graph Classification"
hookk/Graph-Posterior-Network
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
hookk/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
hookk/GraphMAE_PyG
GraphMAE in Torch_Geometric
hookk/GraphMixup
Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"
hookk/GraphRec_PyTorch
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
hookk/GraphWaveMachine
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
hookk/HaarPool
PyTorch Codes for Haar Graph Pooling
hookk/haarwvl
Image compression using Haar Wavelets
hookk/mdistiller
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679
hookk/metis
Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
hookk/MSKD
The code of paper ”Multi-Scale Distillation from Multiple Graph Neural Networks“.
hookk/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
hookk/OpenNE
An Open-Source Package for Network Embedding (NE)
hookk/SIGIR21-SURGE
Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".
hookk/vegas