benmaier / smallworld
Generate and analyze small-world networks according to the revised Watts-Strogatz model where the randomization at β = 1 is truly equal to the Erdős-Rényi network model.
☆18Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for smallworld
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆27Updated last year
- EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks☆24Updated 11 months ago
- OTGNN code☆54Updated 4 years ago
- Junctional Tree Variational Auto-encoder☆18Updated 4 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 2 years ago
- Bayesian MPNNs for Molecular Property Prediction☆27Updated 3 years ago
- Conditional Constrained Graph Variational Autoencoders (CCGVAE) for Molecule Design☆12Updated 4 years ago
- Materials for KDD2023 tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability☆19Updated last year
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆21Updated this week
- Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"☆31Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆53Updated last year
- DeepDrug: A general graph-based deep learning framework for drug relation prediction☆51Updated 2 years ago
- Code for "HiGNN: A Hierarchical Informative Graph Neural Network for Molecular Property Prediction Equipped with Feature-Wise Attention"☆44Updated last year
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆62Updated 4 years ago
- ☆56Updated 3 years ago
- Codebase for Evaluating Attribution for Graph Neural Networks.☆73Updated 3 years ago
- ☆92Updated last year
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 2 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆67Updated last year
- A concise and easy-to-customize reimplementation of "ChemProp" (Yang et al, 2019) in PyTorch Geometric.☆19Updated 2 years ago
- GNNExplainer implementation using DGL☆31Updated 3 years ago
- ☆14Updated 2 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆29Updated 4 years ago
- ☆17Updated last year
- Code repository for "Prioritizing Repurposable Drugs for SARS-CoV-2 using Deep Learning and Population-based Validation"☆14Updated 2 years ago
- Recent application of graph neural network in drug discovery☆10Updated 4 years ago
- Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation☆38Updated 4 years ago
- gRNAde: Geometric Deep Learning for 3D RNA inverse design☆154Updated last month
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆65Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆29Updated last week