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/AES
A Heterogeneity-Aware Graph Partitioning Algorithm in Distributed Environment
hookk/attention-is-all-you-need-keras
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
hookk/AutoML-Tutorial
Tutorials about AutoML
hookk/BernNet
PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
hookk/CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
hookk/DAG-ERC
Pytorch code for ACL-IJCNLP accepted paper "Directed Acyclic Graph Network for Conversational Emotion Recognition"
hookk/DAG-scheduling
hookk/DICE
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
hookk/Distilling-Knowledge-via-Intermediate-Classifiers
Distilling Knowledge via Intermediate Classifiers
hookk/distributed_train_pytorch
pytorch分布式训练,支持多机多卡,单机多卡。
hookk/drl-graph-partitioning
DRL models for graph partitioning and sparse matrix ordering.
hookk/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks.
hookk/Graph-Domain-Adaptaion
PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
hookk/HeCo
The source code of HeCo
hookk/hybrid_edge_partitioner
hookk/IGMC
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
hookk/knowledge_distillation
PyTorch implementation of "Distilling the Knowledge in a Neural Network"
hookk/models
Models and examples built with TensorFlow
hookk/PnC
Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
hookk/Recommender-System-Datasets
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
hookk/ReNode
Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
hookk/res-capsnet
Official implementation of the paper "Training Deep Capsule Networks with ResidualConnections".
hookk/research-publications
A list of all publications related to the KaHyPar frameworks.
hookk/ResLPA
Label Propagation With Residual Learning
hookk/resrgat
ResRGAT
hookk/SAGN_with_SLE
hookk/SAGPool
Official PyTorch Implementation of SAGPool - ICML 2019
hookk/TANS
This is an official PyTorch implementation of Task-Adaptive Neural Network Search with Meta-Contrastive Learning (NeurIPS 2021, Spotlight).
hookk/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
hookk/Variational-Capsule-Routing
Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf