He Zhang's repositories
bmvc_2019
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Diffusion-based-Fluid-Super-resolution
PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".
Diffusion-SpaceTime-Attn
Official implementation of the paper "Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis"
gnn_hierarchical_pooling
Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
GXN
Graph Cross Network
H-GCN
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
H2MN
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
hats
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
HD-GCN
[arXiv] Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
hierarchical_fashion_graph_network
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020
HighAir
The source codes for HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
MalGraph
Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning(TKDE-2021)
mvts-imputation
Multivariate Time Series Imputation by Graph Neural Networks and other methods
mvts-imputation-tsl
Multivariate Time Series Imputation by Graph Neural Networks and other methods
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
pygcn
Graph Convolutional Networks in PyTorch
SAGPool
Official PyTorch Implementation of SAGPool - ICML 2019
SHARE-parking_availability_prediction-Pytorch
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
sparsemax
:boom: A PyTorch Implementation of the Sparsemax operator (https://arxiv.org/pdf/1803.09820.pdf)
structurenet
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.