chao1224 / n_gram_graphLinks
N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
☆38Updated 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:
- ☆54Updated 3 years ago
- An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)☆51Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago
- InterpretableDTIP☆20Updated 6 years ago
- Work on designing a graph co-attention algorithm.☆18Updated last year
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆47Updated 3 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)☆13Updated 2 years ago
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆26Updated 4 years ago
- Chemical-Reaction-Aware Molecule Representation Learning☆77Updated 3 years ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆48Updated 3 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆54Updated 6 years ago
- Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)☆46Updated 3 years ago
- This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…☆42Updated 6 years ago
- OTGNN code☆55Updated 5 years ago
- coming soon☆28Updated 2 years ago
- Recent application of graph neural network in drug discovery☆11Updated 5 years ago
- A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry☆32Updated 4 years ago
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆129Updated 9 months ago
- Research repo for AI aided drug discovery, de novo drug development and related topics☆36Updated 3 years ago
- Code and data for QMO https://arxiv.org/abs/2011.01921☆35Updated 3 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"