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Node Classification datasets
archive 2025-07-2875 datasets carry the task tag "Node Classification" (the task itself: Node Classification), ordered by the archive's paper count. Page 1 of 2: 48 shown of 75. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52
Node Classification datasets 1–48 of 75
The PubMed dataset consists of 19717 scientific publications from PubMed database pertaining to diabetes classified into one of three classes.
1,236 papers · 19 benchmarks
OGB (Open Graph Benchmark)
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs.
1,000 papers · 17 benchmarks
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators.
880 papers · 9 benchmarks
The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 benchmarks
The Cora dataset consists of 2708 scientific publications classified into one of seven classes.
602 papers · 18 benchmarks
The CiteSeer dataset consists of 3312 scientific publications classified into one of six classes.
381 papers · 13 benchmarks
PPI (Protein-Protein Interactions (PPI))
protein roles—in terms of their cellular functions from gene ontology—in various protein-protein interaction (PPI) graphs, with each graph corresponding to a different human tissue [41].
309 papers · 2 benchmarks
In particular, MUTAG is a collection of nitroaromatic compounds and the goal is to predict their mutagenicity on Salmonella typhimurium.
274 papers · 3 benchmarks
MoleculeNet is a large scale benchmark for molecular machine learning.
240 papers · 1 benchmark
DBLP (Citation Network Dataset)
The DBLP is a citation network dataset.
218 papers · 4 benchmarks
Wiki Squirrel (Wikipedia Squirrel)
The data was collected from the English Wikipedia (December 2018).
208 papers · 1 benchmark
PASCAL VOC (PASCAL Visual Object Classes Challenge)
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, boat, bus, car, motorbike, train, bottle, chair, dining table, potted plant, sofa,…
198 papers · 18 benchmarks
NELL (Never Ending Language Learning)
NELL is a dataset built from the Web via an intelligent agent called Never-Ending Language Learner.
177 papers · 2 benchmarks
CLUSTER is a node classification tasks generated with Stochastic Block Models, which is widely used to model communities in social networks by modulating the intra- and extra-communities connections, thereby controlling the difficulty of…
159 papers · 1 benchmark
PATTERN is a node classification tasks generated with Stochastic Block Models, which is widely used to model communities in social networks by modulating the intra- and extra-communities connections, thereby controlling the difficulty of…
153 papers · 1 benchmark
AVA (Atomic Visual Actions)
AVA is a project that provides audiovisual annotations of video for improving our understanding of human activity.
113 papers · 7 benchmarks
WebKB is a dataset that includes web pages from computer science departments of various universities.
113 papers · 2 benchmarks
Wiki-CS is a Wikipedia-based dataset for benchmarking Graph Neural Networks.
111 papers · 1 benchmark
The Yelp Dataset is a valuable resource for academic research, teaching, and learning.
86 papers · 15 benchmarks
The AMiner Dataset is a collection of different relational datasets.
80 papers · 1 benchmark
The Long Range Graph Benchmark (LRGB) is a collection of 5 graph learning datasets that arguably require long-range reasoning to achieve strong performance in a given task.
76 papers · 4 benchmarks
Friendster is an on-line gaming network.
65 papers · 0 benchmarks
Node classification on Penn94
60 papers · 2 benchmarks
54 papers · 2 benchmarks
Roman-empire is a word dependency graph based on the Roman Empire article from the English Wikipedia.
49 papers · 1 benchmark
Questions is an interaction graph of users of a question-answering website based on data provided by Yandex Q.
46 papers · 1 benchmark
Tolokers is a crowdsourcing platform workers network based on data provided by Toloka.
38 papers · 1 benchmark
node classification on genius
37 papers · 2 benchmarks
BioGRID (Biological General Repository for Interaction Datasets)
BioGRID is a biomedical interaction repository with data compiled through comprehensive curation efforts.
34 papers · 2 benchmarks
OGB-LSC (OGB Large-Scale Challenge)
OGB Large-Scale Challenge (OGB-LSC) is a collection of three real-world datasets for advancing the state-of-the-art in large-scale graph ML.
34 papers · 3 benchmarks
minesweeper is a synthetic graph emulating the eponymous game.
34 papers · 1 benchmark
amazon-ratings is a product co-purchasing network based on data from SNAP datasets
33 papers · 1 benchmark
node classification on twitch-gamers
24 papers · 2 benchmarks
Node classification on Chameleon with the fixed 48%/32%/20% splits provided by Geom-GCN.
20 papers · 2 benchmarks
Node classification on Film with 60%/20%/20% random splits for training/validation/test.
19 papers · 1 benchmark
Node classification on Squirrel with the fixed 48%/32%/20% splits provided by Geom-GCN.
19 papers · 2 benchmarks
Node classification on Squirrel with 60%/20%/20% random splits for training/validation/test.
19 papers · 1 benchmark
Node classification on PubMed with 60%/20%/20% random splits for training/validation/test.
18 papers · 1 benchmark
Yeast dataset consists of a protein-protein interaction network.
18 papers · 0 benchmarks
Node classification on Chameleon with 60%/20%/20% random splits for training/validation/test.
17 papers · 2 benchmarks
Node classification on Cornell with the fixed 48%/32%/20% splits provided by Geom-GCN.
16 papers · 2 benchmarks
Node classification on Cornell with 60%/20%/20% random splits for training/validation/test.
16 papers · 2 benchmarks
Node classification on Citeseer with the fixed 48%/32%/20% splits provided by Geom-GCN.
15 papers · 1 benchmark
Node classification on Cora with the fixed 48%/32%/20% splits provided by Geom-GCN.
15 papers · 1 benchmark
Node classification on PubMed with the fixed 48%/32%/20% splits provided by Geom-GCN.
15 papers · 1 benchmark
Node classification on Wisconsin with the fixed 48%/32%/20% splits provided by Geom-GCN.
15 papers · 2 benchmarks
Node classification on Film with the fixed 48%/32%/20% splits provided by Geom-GCN.
14 papers · 2 benchmarks
Node classification on Texas with the fixed 48%/32%/20% splits provided by Geom-GCN.
14 papers · 2 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.