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Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing

https://doi.org/10.1145/3460865
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/inco.1994.1009openalex-snapshot
The Weighted Majority Algorithm
inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1093/bioinformatics/bty294openalex-snapshot
Modeling polypharmacy side effects with graph convolutional networks
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot
Non-local Neural Networks
inferredcites →https://doi.org/10.1109/tits.2020.2983763openalex-snapshot
Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction
inferredcites →https://doi.org/10.1109/tits.2020.3044813openalex-snapshot
Introspective Failure Prediction for Autonomous Driving Using Late Fusion of State and Camera Information
inferredcites →https://doi.org/10.1109/tmi.2016.2528120openalex-snapshot
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tnnls.2018.2836969openalex-snapshot
Domain-Weighted Majority Voting for Crowdsourcing
inferredcites →https://doi.org/10.1137/1.9781611976236.51openalex-snapshot
Attention-Aware Answers of the Crowd
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/1837885.1837906openalex-snapshot
Quality management on Amazon Mechanical Turk
inferredcites →https://doi.org/10.1145/2187836.2187900openalex-snapshot
ZenCrowd
inferredcites →https://doi.org/10.1145/2566486.2567989openalex-snapshot
Community-based bayesian aggregation models for crowdsourcing
inferredcites →https://doi.org/10.1145/2588555.2610509openalex-snapshot
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
inferredcites →https://doi.org/10.1145/2723372.2749430openalex-snapshot
QASCA
inferredcites →https://doi.org/10.1145/3035918openalex-snapshot
Proceedings of the 2017 ACM International Conference on Management of Data
inferredcites →https://doi.org/10.1145/3178876.3186106openalex-snapshot
Deep Collective Classification in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1145/3269206.3271759openalex-snapshot
Heterogeneous Neural Attentive Factorization Machine for Rating Prediction
inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot
Graph Neural Networks for Social Recommendation
inferredcites →https://doi.org/10.14778/2350229.2350263openalex-snapshot
CrowdER
inferredcites →https://doi.org/10.14778/2735471.2735474openalex-snapshot
Scaling up crowd-sourcing to very large datasets
inferredcites →https://doi.org/10.14778/2735496.2735505openalex-snapshot
A confidence-aware approach for truth discovery on long-tail data
inferredcites →https://doi.org/10.14778/3055540.3055547openalex-snapshot
Truth inference in crowdsourcing
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014424openalex-snapshot
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-mainopenalex-snapshot
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.2307/2346806openalex-snapshot
Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm
inferredcites →https://doi.org/10.2307/2526438openalex-snapshot
Optimal Decision Rules in Uncertain Dichotomous Choice Situations
inferredcites →https://doi.org/10.24963/ijcai.2017/184openalex-snapshot
Aggregating Crowd Wisdoms with Label-aware Autoencoders
inferredcites →https://doi.org/10.24963/ijcai.2017/250openalex-snapshot
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach
inferredcites →https://doi.org/10.3115/v1/n15-1089openalex-snapshot
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4770638openalex-extracted
Gtr: An Explainable Graph Topic-Aware Recommender for Scholarly Document
inferred← citeshttps://doi.org/10.1007/978-981-19-3015-7_41openalex-snapshot
A Survey on Advancements of Real-Time Analytics Architecture Components
inferred← citeshttps://doi.org/10.1007/978-981-96-1614-5_26openalex-snapshot
Enhancing Crowdsourcing Data Accuracy for Robot Training via Confidence Learning and GNN
inferred← citeshttps://doi.org/10.1016/j.elerap.2024.101439openalex-snapshot
GTR: An explainable Graph Topic-aware Recommender for scholarly document
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119663openalex-snapshot
Type diversity maximization aware coursewares crowdcollection with limited budget in MOOCs
inferred← citeshttps://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927903openalex-snapshot
A Crowdsourcing Truth Inference Algorithm Based on Hypergraph Neural Networks
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00099openalex-snapshot
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd
inferred← citeshttps://doi.org/10.1109/tkde.2022.3225308openalex-snapshot
TIRA: Truth Inference via Reliability Aggregation on Object-Source Graph
inferred← citeshttps://doi.org/10.1109/tmc.2025.3642535openalex-snapshot
Noisy Multi-Label Aggregation With Self-Supervised Graph Transformer in Mobile Crowdsourcing
inferred← citeshttps://doi.org/10.1109/tpami.2023.3338216openalex-snapshot
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks
inferred← citeshttps://doi.org/10.1145/3544105openalex-snapshot
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs
inferred← citeshttps://doi.org/10.1145/3565576openalex-snapshot
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding
inferred← citeshttps://doi.org/10.1145/3589964openalex-snapshot
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0290090openalex-snapshot
Starling: Introducing a mesoscopic scale with Confluence for Graph Clustering
inferred← citeshttps://doi.org/10.3233/faia230431openalex-snapshot
Label Aggregation with Self-Supervision Enhanced Graph Transformer
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