wangling1820

wangling1820's Stars

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k9474875

• szagoruyko/pytorchviz

  A small package to create visualizations of PyTorch execution graphs

  Language:Jupyter Notebook3.2k3164279

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k1771689

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.6k39187370

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k4614326

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.2k9214512

• weihua916/powerful-gnns

  How Powerful are Graph Neural Networks?

  Language:Python1.2k2623223

• jwwthu/GNN4Traffic

  This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

  1k353189

• matenure/FastGCN

  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

  Language:Python5151228111

• TrustAGI-Lab/graph_datasets

  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

  2839472

• aravindsankar28/DySAT

  Representation learning on dynamic graphs using self-attention networks

  Language:Python27841544

• zpeng27/GMI

  Graph Representation Learning via Graphical Mutual Information Maximization

  Language:Python1103610

• tnbar/awesome-tensorial-neural-networks

  A thoroughly investigated survey for tensorial neural networks.

  1044013

• tnbar/tednet

  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

  Language:Python883411

• wengwenchao123/DDGCRN

  [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting

  Language:Python6221214

• doujiang-zheng/Dynamic-Temporal-Graph-Learning-Reading-List

  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.

  52214

• ihollywhy/FactorGCN.PyTorch

  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20

  Language:Python51119

• KuroginQin/OpenTLP

  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.

  Language:Python46308

• seven-echo/Dynamic-graph-dataset

  Dynamic graph/network dataset for dynamic graph/network embedding/representation

  32225

• Water2sea/WITRAN

  Language:Python29243

• lgalke/lifelong-learning

  Lifelong Learning of Graph Neural Networks for Open-World Node Classification

  Language:Python26404

• lgalke/gnn-pretraining-evaluation

  Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference

  Language:Python19413

• Ajim63/Attention-Based-Dynamic-Graph-Learning-Framework-for-Asset-Pricing

  This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"

  Language:Jupyter Notebook13102

• GhazalehNiknam/DyVGRNN

  Language:Python10112

• sugeerth/ECoG-ClusterFlow

  Interactive Cluster Analysis of ECoG Data

  Language:Python10410

• yuyolshin/PGCN

  Language:Python910

• 346644054/ST-3DGMR

  Language:Python7100

• hjf1997/DualSTN

  Decoupling long- and short-term patterns in spatiotemporal inference

  Language:Python5100

• iliailmer/transform_based_module

  Extension of DCT-based harmonic networks to two other transforms: Slant and Hadamard.

  Language:Python2100

• zhengwang100/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python1000