MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Advanced Graph Neural Networks
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

518 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
518 works in the cohort · of 4,299,418page 2 of 11

Labels cover 2 of 518 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 518 of 518 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso, Luca Cavalleri, Dominique Beaini, Píetro Lió, Petar Veličković
2020· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
51
citations
affunlabeled
Graph Normalizing Flows
Jenny Liu, Aviral Kumar, Jimmy Ba, Jamie Kiros, Kevin Swersky
2019· article· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
DGL-KE: Training Knowledge Graph Embeddings at Scale
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Song Dong +3 more
2020· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
AutoNE
Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
afffundunlabeled
On Directed Densest Subgraph Discovery
Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin
2021· article· en· ACM Transactions on Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
LRGB: Long Range Graph Benchmark
Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu +1 more
2022· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
Analysis of Traffic Accident Based on Knowledge Graph
Liyan Zhang, Min Zhang, Jiazhen Tang, Jian Ma, Xiaoke Duan, Juan Sun +2 more
2022· article· en· Journal of Advanced Transportation· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
aboutno affunlabeled
LargeEA
Congcong Ge, Xiaoze Liu, Lu Chen, Yunjun Gao, Baihua Zheng
2021· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang
2019· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Amer: A New Attribute-Missing Network Embedding Approach
Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang +2 more
2022· article· en· IEEE Transactions on Cybernetics· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Sampling Enclosing Subgraphs for Link Prediction
Paul Louis, Shweta Ann Jacob, Amirali Salehi‐Abari
2022· article· en· Proceedings of the 31st ACM International Conference on Information & Knowledge Management· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Trust Prediction via Belief Propagation
Richong Zhang, Yongyi Mao
2014· article· en· ACM Transactions on Information Systems· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations

How this was built: Screen · Findings · About