Alternatives and similar repositories for n_gram_graph

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

• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆79Updated 3 years ago
• MinkaiXu / ConfVAE-ICML21
  An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
  ☆51Updated 3 years ago
• tata1661 / PAR-NeurIPS21
  Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
  ☆48Updated 3 years ago
• andreeadeac22 / graph_coattention
  Work on designing a graph co-attention algorithm.
  ☆18Updated last year
• blackmints / 3DGCN
  Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
  ☆54Updated 6 years ago
• jcchan23 / CoMPT
  Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"
  ☆40Updated 3 years ago
• DeepGraphLearning / GraphAF
  ☆54Updated 3 years ago
• biomed-AI / MolRep
  MolRep: A Deep Representation Learning Library for Molecular Property Prediction
  ☆129Updated 9 months ago
• yvquanli / TrimNet
  Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
  ☆53Updated 2 years ago
• hwwang55 / MolR
  Chemical-Reaction-Aware Molecule Representation Learning
  ☆77Updated 3 years ago
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆41Updated last year
• smiles724 / Molformer
  ☆96Updated last month
• kenqgu / BiLevel-Graph-Neural-Network
  Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
  ☆30Updated 4 years ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 5 years ago
• ZhaoningYu1996 / HM-GNN
  Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
  ☆37Updated 2 years ago
• kexinhuang12345 / CASTER
  CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)
  ☆26Updated 4 years ago
• ChenDdon / AGBTcode
  ☆28Updated last year
• phermosilla / IEConv_proteins
  Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
  ☆48Updated 3 years ago
• divelab / MoleculeX
  ☆167Updated 3 years ago
• yataobian / awesome-DrugAI
  Research repo for AI aided drug discovery, de novo drug development and related topics
  ☆36Updated 3 years ago
• SY575 / CMPNN
  ☆76Updated last year
• MinkaiXu / CGCF-ConfGen
  Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
  ☆46Updated 3 years ago
• anny0316 / Drug3D-Net
  A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry
  ☆32Updated 4 years ago
• simonfqy / PADME
  This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…
  ☆43Updated 6 years ago
• chao1224 / SGNN-EBM
  Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)
  ☆13Updated 3 years ago
• teslacool / UnifiedMolPretrain
  Unified 2D and 3D Pre-Training of Molecular Representations
  ☆30Updated 3 years ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆137Updated 2 years ago
• AITRICS / mol_reliable_gnn
  Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'
  ☆28Updated 4 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆122Updated last year
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago