{"url":"/method/hi-lander","slug":"hi-lander","name":"Hi-LANDER","full_name":"Hi-LANDER","full_name_withheld":false,"description_markdown":"**Hi-LANDER** is a hierarchical [graph neural network](https://paperswithcode.com/methods/category/graph-models) (GNN) model that learns how to cluster a set of images into an unknown number of identities using an image annotated with labels belonging to a disjoint set of identities. The hierarchical GNN uses an approach to merge connected components predicted at each level of the hierarchy to form a new graph at the next level. Unlike fully unsupervised hierarchical clustering, the choice of grouping and complexity criteria stems naturally from supervision in the training set.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/2107.01319v2","title":"Learning Hierarchical Graph Neural Networks for Image Clustering","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Graphs","area_id":"graphs","collection":"Graph Models","url":"/methods/category/graph-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/learning-hierarchical-graph-neural-networks","title":"Learning Hierarchical Graph Neural Networks for Image Clustering","date":"2021-07-03","arxiv_id":"2107.01319","n_code_links":3,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/clustering","name":"Clustering","papers":1},{"task":"/task/face-clustering","name":"Face Clustering","papers":1},{"task":"/task/graph-neural-network","name":"Graph Neural Network","papers":1},{"task":"/task/image-clustering","name":"Image Clustering","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2021","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/hi-lander"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}