chao1224 / n_gram_graphLinks
N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
☆39Updated 4 years ago
Alternatives and similar repositories for n_gram_graph
Users that are interested in n_gram_graph are comparing it to the libraries listed below
Sorting:
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆80Updated 3 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)☆51Updated 4 years ago
- Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "☆53Updated 2 years ago
- OTGNN code☆55Updated 5 years ago
- ☆56Updated 4 years ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆49Updated 3 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆54Updated 6 years ago
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆48Updated 3 years ago
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆25Updated 4 years ago
- ☆81Updated last year
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆129Updated 11 months ago
- Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"☆37Updated 2 years ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- ☆96Updated 2 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- ☆76Updated last year
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'☆28Updated 4 years ago
- InterpretableDTIP☆20Updated 7 years ago
- Heterogeneous Molecular Graph Neural Network☆28Updated 4 years ago
- 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
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆96Updated 3 years ago
- Recent application of graph neural network in drug discovery☆10Updated 5 years ago
- Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"☆73Updated last year
- Chemical-Reaction-Aware Molecule Representation Learning☆80Updated 3 years ago
- MoFlow: an invertible flow model for generating molecular graphs☆143Updated 2 years ago
- ☆59Updated 6 years ago
- ☆14Updated 3 years ago