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/blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
hookk/WASP-Graph-Partitioner
hookk/Wavelets-and-Pyramids
Implemented Haar Wavelets and Lifting scheme for Image Compression and Denoising, along with Gaussian and Laplacian pyramids
hookk/attention-feature-distillation
Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)
hookk/binary_gnn
Code for our paper "Binary Graph Neural Networks", CVPR 2021
hookk/born_again_neuralnet
Unofficial pytorch implementation of Born-Again Neural Networks.
hookk/CapsE
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
hookk/CapsRoute_NER
Capsule Routing for Named Entity Recognition
hookk/CSKD
Codes for ECCV2020 paper "Improving Knowledge Distillation via Category Structure".
hookk/decima-sim
Learning Scheduling Algorithms for Data Processing Clusters
hookk/DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
hookk/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
hookk/DeosciRec
Deoscillated Graph Collaborative Filtering
hookk/diffnet
Graph Neural Network based Social Recommendation Model. SIGIR2019.
hookk/diffpool
hookk/Distilling-the-Knowledge-in-a-Neural-Network
hookk/GCN_Partitioning
Graph Partitoning Using Graph Convolutional Networks
hookk/gnn-spectral-expressive-power
Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
hookk/Graph-Aggregation-by-Metis
A framework of aggregating huge-scale graph based on metis algorithm.
hookk/graph-partitioning-jabeja
Project to study distributed graph partitioning techniques by implementing the JaBeJa algorithm using Java. It was evaluated using several graphs 3elt, add20, Twitter, and several modifications to the original algorithm were tested.
hookk/graph_nets
Build Graph Nets in Tensorflow
hookk/HGSL
Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
hookk/KwaiVideo
hookk/NGAT4Rec
NGAT4Rec: Neighbor-Aware Graph Attention Network ForRecommendation
hookk/Recommender-Systems-Paper
Must-read Papers for Recommender Systems (RS)
hookk/RecommenderSystem-DataSet
This repository contains some datasets that I have collected in Recommender Systems.
hookk/RSAlgorithms
Some algorithms about traditional and social recommendation.
hookk/RSPapers
A Curated List of Must-read Papers on Recommender System.
hookk/THACIL
Temporal Hierarchical Attention at Category- and Item-Level for Micro-Video Click-Through Prediction
hookk/TWIRLS
The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".