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:
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆47Updated 3 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆55Updated 6 years ago
- Work on designing a graph co-attention algorithm.☆18Updated last year
- An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)☆51Updated 3 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 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 5 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- ☆54Updated 3 years ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆48Updated 3 years ago
- OTGNN code☆55Updated 5 years ago
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 4 years ago
- Research repo for AI aided drug discovery, de novo drug development and related topics☆36Updated 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
- Unified 2D and 3D Pre-Training of Molecular Representations☆30Updated 2 years ago
- Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)☆46Updated 3 years ago
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆129Updated 8 months ago
- InterpretableDTIP☆20Updated 6 years ago
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆77Updated 10 months ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆24Updated 2 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- ☆28Updated last year
- Database of Interacting Protein Structures (DIPS)☆100Updated last year
- Chemical-Reaction-Aware Molecule Representation Learning☆77Updated 2 years ago
- MoleculeNet benchmark dataset & MolMapNet dataset☆63Updated 3 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆36Updated last year
- Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)☆13Updated 2 years ago
- ☆59Updated 6 years ago
- Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023☆40Updated 8 months ago