Alternatives and similar repositories for gvae

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

• harryjo97 / GDSS
  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…
  ☆170Updated last year
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆122Updated last year
• kfzyqin / Implementation-MolGAN-PyTorch
  PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.
  ☆58Updated 3 years ago
• seokhokang / graphvae_approx
  Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation
  ☆40Updated 4 years ago
• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆204Updated last year
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆101Updated 3 years ago
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆77Updated last year
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆58Updated 2 years ago
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Updated 3 years ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆97Updated last year
• yongqyu / MolGAN-pytorch
  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
  ☆170Updated 6 years ago
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆81Updated 6 months ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆44Updated 4 years ago
• DevinKreuzer / SAN
  ☆156Updated 3 years ago
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆42Updated last month
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆64Updated last year
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆125Updated last year
• XiaShan1227 / Graphormer
  Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
  ☆43Updated 7 months ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆137Updated 2 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆70Updated last year
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 2 months ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆87Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆123Updated 5 months ago
• divelab / MoleculeX
  ☆166Updated 3 years ago
• chao1224 / GraphMVP
  Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
  ☆190Updated 2 years ago
• BenGutteridge / DRew
  ☆31Updated last year