rusty1s / himp-gnnLinks
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
☆80Updated 3 years ago
Alternatives and similar repositories for himp-gnn
Users that are interested in himp-gnn are comparing it to the libraries listed below
Sorting:
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)☆149Updated 6 years ago
- ☆59Updated 6 years ago
- ☆170Updated 3 years ago
- OTGNN code☆56Updated 5 years ago
- N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)☆39Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019☆56Updated 5 years ago
- ☆81Updated 2 years ago
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆97Updated 3 years ago
- Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation☆41Updated 5 years ago
- ☆58Updated 4 years ago
- Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)☆173Updated 7 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 5 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆30Updated 2 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- Sample code for Constrained Graph Variational Autoencoders☆238Updated 2 years ago
- MoFlow: an invertible flow model for generating molecular graphs☆146Updated 2 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆30Updated 3 years ago
- Codebase for Evaluating Attribution for Graph Neural Networks.☆81Updated 4 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Updated 2 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆24Updated 2 years ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "☆57Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77Updated 4 years ago
- ☆43Updated 2 years ago
- ProteinGCN: Protein model quality assessment using Graph Convolutional Networks☆119Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆103Updated 4 years ago