Alternatives and similar repositories for PA-Graph-Transformer:

Users that are interested in PA-Graph-Transformer are comparing it to the libraries listed below

• wengong-jin / iclr19-graph2graph
  Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
  ☆150Updated 6 years ago
• F-Bekerman / Graph-VAE
  ☆42Updated 7 years ago
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆92Updated 2 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• SeongokRyu / Molecular-GAT
  Molecular-GAT
  ☆21Updated 6 years ago
• SeongokRyu / augmented-GCN
  ☆59Updated 6 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆78Updated 3 years ago
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆54Updated 5 years ago
• pfnet-research / hierarchical-molecular-learning
  Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)
  ☆14Updated 6 years ago
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago
• Hanjun-Dai / sdvae
  code for Syntax-Directed Variational Autoencoder that generates programs and molecues
  ☆78Updated 6 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆42Updated last year
• chao1224 / n_gram_graph
  N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
  ☆38Updated 4 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 3 years ago
• anonymous1025 / Deep-Graph-Translation-
  ☆16Updated 5 years ago
• yangkevin2 / coronavirus_data
  ☆81Updated last year
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• blackmints / 3DGCN
  Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
  ☆55Updated 6 years ago
• nyu-dl / dl4chem-geometry
  ☆63Updated 5 years ago
• insilicomedicine / DD-VAE
  Deterministic Decoding for Discrete Data in Variational Autoencoders
  ☆24Updated 4 years ago
• qslim / epcb-gnns
  ☆10Updated 2 years ago
• lucidrains / molecule-attention-transformer
  Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
  ☆58Updated 4 years ago
• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆36Updated 5 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• graphreason / graphreason.github.io
  Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)
  ☆26Updated 5 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated 2 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆65Updated 2 years ago
• chaoyan1037 / Re-balanced-VAE
  Code for our paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.
  ☆11Updated 2 years ago
• omri1348 / LRGA
  Low Rank Global Attention for Graph Neural Networks
  ☆12Updated 4 years ago
• nyu-dl / conditional-molecular-design-ssvae
  ☆50Updated 10 months ago