Alternatives and similar repositories for Learn-Graph-Laplacian

Users that are interested in Learn-Graph-Laplacian are comparing it to the libraries listed below

• divelab / Non-Local-GNN
  Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
  ☆23Updated 3 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 3 years ago
• rodrigo-pena / graph-learning
  ☆14Updated 8 years ago
• dasturge / rgcnn
  Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"
  ☆17Updated 6 years ago
• kunzhan / MTGCN
  FGCS 2021: Mutual teaching for graph convolutional networks
  ☆15Updated 5 years ago
• YuGuangWang / UFG
  ☆36Updated 3 years ago
• anonymous-sourcecode / GResNet
  Source code of GResNet
  ☆16Updated 5 years ago
• pydsgz / MGMC
  https://arxiv.org/abs/2005.06935
  ☆12Updated 2 years ago
• sseung0703 / GALA_TF2.0
  Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
  ☆45Updated 5 years ago
• snehchav / Semi-Supervised-Image-Classification
  The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…
  ☆18Updated 7 years ago
• euranova / DAEMA
  This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…
  ☆14Updated 4 years ago
• matenure / mvGAE
  Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
  ☆32Updated 6 years ago
• VITA-Group / L2-GCN
  [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
  ☆31Updated 3 years ago
• ppope / explain_graphs
  Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …
  ☆34Updated 2 weeks ago
• uestc-lese / SPGRL
  ☆18Updated 3 years ago
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 3 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 4 years ago
• baoyujing / NET3
  ☆17Updated 4 years ago
• Uchman21 / MLGW
  Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019
  ☆12Updated 2 years ago
• TrustAGI-Lab / graph-deep-learning
  This repository summarises the open source codes of our group
  ☆27Updated 3 years ago
• sckangz / SelfsupervisedSC
  ☆18Updated 4 years ago
• dweiiiiiiiiii / Clustering
  ☆20Updated 7 years ago
• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆24Updated 3 years ago
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆41Updated 5 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated 2 years ago
• maxwass / pyGSL
  A Graph Structure Learning (GSL) Toolkit
  ☆36Updated 3 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• FilippoMB / Benchmark_dataset_for_graph_classification
  Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆50Updated 8 months ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 5 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 3 years ago