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Train and visualize Hierarchical Attention Networks

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

DrugHIVE: Structure-based drug design with a deep hierarchical generative model

PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Message Passing Attention Networks for Document Understanding

[ECCV2024] PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects

[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".

PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.

An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations