Alternatives and similar repositories for MoNet:

Users that are interested in MoNet are comparing it to the libraries listed below

• gmum / geo-gcn
  The official implementation of the SGCN architecture.
  ☆62Updated 3 years ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆96Updated last year
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆76Updated 4 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆72Updated 5 years ago
• rusty1s / pytorch_spline_conv
  Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
  ☆177Updated 3 months ago
• F-Bekerman / Graph-VAE
  ☆42Updated 7 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 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 6 months 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
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 3 years ago
• ndey96 / GCNN-Explainability
  Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
  ☆81Updated 3 years ago
• mys007 / ecc
  Edge-Conditioned Convolutions on Graphs
  ☆231Updated 6 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆100Updated 4 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆110Updated last year
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆63Updated 6 months ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆63Updated last year
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆40Updated 5 years ago
• lcosmo / DGM_pytorch
  ☆52Updated 2 years ago
• amoliu / CayleyNet
  Graph Convolutional Neural Networks with Complex Rational Spectral Filters
  ☆26Updated 6 years ago
• danielegrattarola / decimation-pooling
  Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).
  ☆23Updated 4 years ago
• Pangyk / Graph_AE
  ☆25Updated 3 years ago
• c-hofer / graph_filtration_learning
  ☆20Updated 3 years ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆18Updated last year
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆72Updated 5 years ago
• Westlake-AI / Markov-Lipschitz-Deep-Learning
  ☆44Updated 4 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆102Updated 2 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆67Updated 5 years ago