Alternatives and similar repositories for FastGCN-matlab

Users that are interested in FastGCN-matlab are comparing it to the libraries listed below

• USC-Melady / ICLR2020-PADGN
  Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…
  ☆52Updated 5 years ago
• xinychen / Tensor4ML
  Tensor decomposition for machine learning (w/ Python implementation)
  ☆224Updated last year
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆65Updated 6 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆168Updated 2 years ago
• dasturge / rgcnn
  Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"
  ☆17Updated 6 years ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆67Updated 5 years ago
• huawei-noah / BGCN
  A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
  ☆162Updated 6 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆104Updated 6 years ago
• mdbartos / graph-signals
  🕸 Implementations of graph signal processing techniques from "The emerging field of signal processing on graphs" (2013)
  ☆33Updated 7 years ago
• yanghaoxie / GCN-GAN-for-Weighted-Dynamic-Networks
  GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
  ☆35Updated 6 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆118Updated 10 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆66Updated 2 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆178Updated 7 years ago
• yakovlev31 / graphpdes
  ☆14Updated 4 years ago
• WangXuhongCN / OCGNN
  my implement of my paper
  ☆66Updated 4 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆38Updated last year
• nklb / wasserstein-distance
  Compact Matlab code for the computation of the 1- and 2-Wasserstein distances in 1D
  ☆45Updated last year
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆55Updated 5 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• XtractOpen / Meganet.m
  A fresh approach to deep learning written in MATLAB
  ☆24Updated 3 years ago
• HarlinLee / nonconvex-GTF-public
  Code for nonconvex graph trend filtering
  ☆10Updated 3 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆38Updated 6 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆35Updated 9 years ago
• Jiankai-Sun / Bayes-Optimization
  A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.
  ☆20Updated 8 years ago
• liutongyang / GraphGAN-pytorch
  (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55
  ☆46Updated 6 years ago
• wangsc1912 / ESGNN
  [Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."
  ☆24Updated 2 years ago
• xwcao / TGAN
  Code for the paper "Tensorizing Generative Adversarial Nets"
  ☆15Updated 7 years ago
• luanaruiz9 / gated_gcrnns
  Gated graph convolutional recurrent neural networks code used in:
  ☆17Updated 2 years ago
• IBM / TM-GCN
  Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
  ☆28Updated 4 years ago