by K-Dense-AI
torchdrug is a PyTorch-native toolkit for molecular and protein machine learning. Use the torchdrug skill to choose tasks, datasets, and modular models for graph neural networks, protein modeling, knowledge graph reasoning, molecular generation, and retrosynthesis. It is best for custom model development and reproducible configs, not just canned demos.
by K-Dense-AI
torch-geometric skill guide for PyTorch Geometric graph neural networks. Use it for torch-geometric install help, torch-geometric usage, graph classification, node classification, link prediction, heterogeneous graphs, custom MessagePassing layers, and scaling GNNs for Machine Learning workflows.
by K-Dense-AI
primekg is a PrimeKG knowledge-graph skill for academic research, linking genes, drugs, diseases, phenotypes, and paths for evidence-oriented biomedical exploration and drug repurposing.
by K-Dense-AI
networkx is a Python skill for creating, analyzing, and visualizing graphs and complex networks. Use it for networkx usage in shortest paths, centrality, clustering, community detection, graph construction, and networkx for Data Analysis workflows. Best for node-edge data where structure and relationships matter.
