ustcfd

ustcfd's Stars

• shobrook/SeqConv

  Graph convolutional operator that uses a LSTM as a filter

  Language:Python9

• benedekrozemberczki/APPNP

  A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

  Language:Python36349

• zhuhm1996/bgnn

  bilinear graph neural network

  Language:Python306

• psp3dcg/GSAPool

  The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling

  Language:Python285

• xlwang233/STSeq2Seq

  PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.

  Language:Python15

• Aaron09/torchfactor

  Tensor factorizations using neural networks in PyTorch

  Language:Jupyter Notebook52

• leaderj1001/Synthesizer-Rethinking-Self-Attention-Transformer-Models

  Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch

  Language:Python702

• RobinLu1209/STAG-GCN

  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

  Language:Python6515

• zhengyang-wang/sopool-gnns

  Second-Order Pooling for Graph Neural Networks

  Language:Python168

• Qin-J/Uniform-graph-pooling

  The core code for article "Uniform Pooling for Graph Networks"

  2

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.3k198

• panzheyi/ST-MetaNet

  The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

  Language:Python19673

• GuangmingZhu/AdaptiveGCN

  Researches on Adaptive Graph Convolution

  Language:Python3

• LeiBAI/AGCRN

  Adaptive Graph Convolutional Recurrent Network

  Language:Python35582

• nnzhan/MTGNN

  Language:Python800221

• Zhiyuan-Wu/MSSTN

  MSSTN: Multi-Scale Spatial-Temporal Network for Air Pollution Prediction

  Language:Python2212

• yule-BUAA/DSTGCN

  codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

  Language:Python6311

• kenziyuliu/MS-G3D

  [CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

  Language:Python42897

• JucatL/MxPool

  Language:Python62

• LEAP-WS/MDGCN

  Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification

  Language:Python10229

• haoxingl/STSAN

  Spatial-Temporal Self-Attention Network

  Language:Python223

• EvelynFan/FAU

  [AAAI 2020] Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution

  Language:Python9327

• zhouyirong09/ST-Attn

  Multi-step Citywide Crowd Flow Prediction

  Language:Python115

• jcyk/gtos

  Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

  Language:Python19026

• Xillv/Code-for-AEGCN-Glove

  Code for paper "Targeted Sentiment Classification Based on Attentional Encoding and Graph Convolutional Networks"

  Language:Python113

• Luckick/EAGCN

  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling

  Language:Python20244

• sshleifer/Graph-WaveNet

  Modifications to Graph Wavenet

  Language:Python9724

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k994

• ppuliu/GloRE

  Global Relation Embedding for Relation Extraction

  Language:Jupyter Notebook6824

• aravindsankar28/DySAT

  Representation learning on dynamic graphs using self-attention networks

  Language:Python27944