Browse State-of-the-Art › Hierarchical Multi-label Classification

Hierarchical Multi-label Classification

19 papers with code · 20 benchmarks · 15 datasets archive 2025-07-28

Computer VisionMedicalMethodologyReasoning

Multi-label classification is a standard machine learning problem in which an object can be associated with multiple labels. A hierarchical multi-label classification (HMC) problem is defined as a multi-label classification problem in which classes are hierarchically organized as a tree or as a directed acyclic graph (DAG), and in which every prediction must be coherent, i.e., respect the hierarchy constraint. The hierarchy constraint states that a datapoint belonging to a given class must also belong to all its ancestors in the hierarchy.

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

20 leaderboard tables shown for this task, 20 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 20 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
RCV1-v2 (7 rows) HiDEC+HBM Loss Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical... code — Compare
New York Times Annotated Corpus (7 rows) HiDEC+HBM Loss Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical... code — Compare
EURLEX57K (4 rows) HiDEC+HBM Loss Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical... code — Compare
WOS (3 rows) HILL HILL: Hierarchy-aware Information Lossless Contrastive Learning... code Syntology ran 3 of 3 samples · 0 unverified Compare
Cellcycle Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Derisi Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Eisen GO (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Expr GO (2 rows) HMCN-F Hierarchical Multi-Label Classification Networks — — Compare
Gasch1 GO (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Gasch2 GO (2 rows) HMCN-F Hierarchical Multi-Label Classification Networks — — Compare
Seq GO (2 rows) HMCN-F Hierarchical Multi-Label Classification Networks — — Compare
Spo GO (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Eisen Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Expr Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Gasch1 Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Gasch2 Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Seq Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Spo Funcat (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Cellcycle GO (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare
Derisi GO (2 rows) C-HMCNN Coherent Hierarchical Multi-Label Classification Networks code — Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

15 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (48 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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