On the public citation graph

Combining Graph Convolutional Neural Networks and Label Propagation

https://doi.org/10.1145/3490478
0 signed · 90 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1109/cvpr.2019.00981openalex-snapshot
Label Efficient Semi-Supervised Learning via Graph Filtering
inferredcites →https://doi.org/10.1109/cvpr.2019.01157openalex-snapshot
Semi-Supervised Learning With Graph Learning-Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2009.5459267openalex-snapshot
Sparsity induced similarity measure for label propagation
inferredcites →https://doi.org/10.1109/tkde.2007.190672openalex-snapshot
Label Propagation through Linear Neighborhoods
inferredcites →https://doi.org/10.1109/tnnls.2016.2514360openalex-snapshot
Label Propagation via Teaching-to-Learn and Learning-to-Teach
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2556195.2556259openalex-snapshot
Personalized entity recommendation
inferredcites →https://doi.org/10.1145/2939672.2939673openalex-snapshot
Collaborative Knowledge Base Embedding for Recommender Systems
inferredcites →https://doi.org/10.1145/3269206.3271739openalex-snapshot
RippleNet
inferredcites →https://doi.org/10.1145/3292500.3330836openalex-snapshot
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
inferredcites →https://doi.org/10.1145/3442381.3449927openalex-snapshot
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
inferredcites →https://doi.org/10.1145/3442381.3450133openalex-snapshot
Learning Intents behind Interactions with Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014424openalex-snapshot
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
inferredcites →https://doi.org/10.1609/aimag.v29i3.2157openalex-snapshot
Collective Classification in Network Data
inferredcites →https://doi.org/10.24963/ijcai.2021/214openalex-snapshot
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
inferredcites →https://doi.org/10.48550/arxiv.1803.03735openalex-snapshot
Attention-based Graph Neural Network for Semi-supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.1803.07294openalex-snapshot
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-78090-5_28openalex-snapshot
Combining GraphSAGE and Label Propagation for Node Classification in Graphs
inferred← citeshttps://doi.org/10.1007/s10115-025-02473-8openalex-snapshot
Hybrid long-range dependency-aware graph convolutional network for node classification
inferred← citeshttps://doi.org/10.1007/s11042-021-11843-7openalex-snapshot
Enhanced Graph Representations for Graph Convolutional Network Models
inferred← citeshttps://doi.org/10.1007/s11053-024-10311-xopenalex-snapshot
A Graph Convolutional Network Approach to Qualitative Classification of Hydrocarbon Zones Using Petrophysical Properties in Well Logs
inferred← citeshttps://doi.org/10.1007/s11227-022-04865-xopenalex-snapshot
On using affine sketches for multiple-response dynamic graph regression
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109850openalex-snapshot
CLP-GCN: Confidence and label propagation applied to Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116622openalex-snapshot
Edge partitioning for memory, global hub for performance: A theoretically guided GNN on large-scale graphs
inferred← citeshttps://doi.org/10.1016/j.datak.2026.102624openalex-snapshot
Detecting vaccine hesitancy patterns via few-shot learning and graph-based clustering
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124397openalex-snapshot
Unified structure-aware feature learning for Graph Convolutional Network
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122011openalex-snapshot
JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations
inferred← citeshttps://doi.org/10.1016/j.irfa.2025.104619openalex-snapshot
SCF credit risk assessment with limited labeled data using label propagation algorithm and complex network approaches
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.07.018openalex-snapshot
Screening the stones of Venice: Mapping social perceptions of cultural significance through graph-based semi-supervised classification
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112928openalex-snapshot
Attention-based Graph Clustering Network with Dual Information Interaction
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114435openalex-snapshot
Heterophily-aware dynamic hypergraph for semi-supervised classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128205openalex-snapshot
Adversarially deep interative-fused embedding clustering via joint self-supervised networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129128openalex-snapshot
Topology-Aware Node Injection Attacks against graph neural networks
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.09.035openalex-snapshot
LaenNet: Learning robust GCNs by propagating labels
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106931openalex-snapshot
Graph Batch Coarsening framework for scalable graph neural networks
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111754openalex-snapshot
Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114235openalex-snapshot
ALS: Attentive long-short-range message passing for graph representation learning
inferred← citeshttps://doi.org/10.1016/j.physa.2025.130369openalex-snapshot
Heterogeneous graph neural network with relation-aware label propagation for unbalanced node classification
inferred← citeshttps://doi.org/10.1038/s41598-025-24350-8openalex-snapshot
A digital twin model for grain enterprise financial shared service centers based on distributed deep learning and neural symbolic reasoning
inferred← citeshttps://doi.org/10.1109/access.2023.3270385openalex-snapshot
Generating Real-Time Explanations for GNNs via Multiple Specialty Learners and Online Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020970openalex-snapshot
Predictive Masking for Semi-Supervised Graph Contrastive Learning
inferred← citeshttps://doi.org/10.1109/candarw64572.2024.00034openalex-snapshot
Deep Graph Attention Networks
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032447openalex-snapshot
Graph Summarization as Vertex Classification Task using Graph Neural Networks vs. Bloom Filter
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00228openalex-snapshot
BIM: Improving Graph Neural Networks with Balanced Influence Maximization
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00237openalex-snapshot
Graph Condensation for Inductive Node Representation Learning
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650407openalex-snapshot
Nonlinear Correct and Smooth for Semi-Supervised Learning
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650572openalex-snapshot
A Structure-Aware Graph Representation Learning Optimization
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650871openalex-snapshot
Solving Interactive Video Object Segmentation with Label-Propagating Neural Networks
inferred← citeshttps://doi.org/10.1109/isbi56570.2024.10635271openalex-snapshot
Individualized Brain Parcellation Using Multimodal Fusion and Graph Convolution Networks
inferred← citeshttps://doi.org/10.1109/itec60657.2024.10598855openalex-snapshot
A Battery State of Health Prediction Framework Considering User Behavior for On-road Electric Vehicles
inferred← citeshttps://doi.org/10.1109/sbac-padw69789.2025.00025openalex-snapshot
Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios
inferred← citeshttps://doi.org/10.1109/ssci52147.2023.10371970openalex-snapshot
FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/taslp.2024.3374062openalex-snapshot
BaSFormer: A Balanced Sparsity Regularized Attention Network for Transformer
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3489418openalex-snapshot
M-Graphormer: Multi-Channel Graph Transformer for Node Representation Learning
inferred← citeshttps://doi.org/10.1109/tcbb.2022.3215257openalex-snapshot
PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction
inferred← citeshttps://doi.org/10.1109/tcss.2024.3385539openalex-snapshot
FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation
inferred← citeshttps://doi.org/10.1109/tcss.2024.3395794openalex-snapshot
Node Injection Attack Based on Label Propagation Against Graph Neural Network
inferred← citeshttps://doi.org/10.1109/tkde.2022.3168070openalex-snapshot
Breaking the Expression Bottleneck of Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/tkde.2022.3197554openalex-snapshot
Learning Fair Graph Neural Networks with Limited and Private Sensitive Attribute Information
inferred← citeshttps://doi.org/10.1109/tkde.2022.3231660openalex-snapshot
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification
inferred← citeshttps://doi.org/10.1109/tkde.2023.3287739openalex-snapshot
GraphMM: Graph-Based Vehicular Map Matching by Leveraging Trajectory and Road Correlations
inferred← citeshttps://doi.org/10.1109/tkde.2023.3303212openalex-snapshot
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement
inferred← citeshttps://doi.org/10.1109/tkde.2024.3380709openalex-snapshot
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tkde.2025.3569629openalex-snapshot
RobGC: Towards Robust Graph Condensation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3640731openalex-snapshot
SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3157746openalex-snapshot
GraphHop: An Enhanced Label Propagation Method for Node Classification
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3569526openalex-snapshot
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tnse.2023.3337600openalex-snapshot
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics
inferred← citeshttps://doi.org/10.1109/tpami.2024.3459408openalex-snapshot
Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias
inferred← citeshttps://doi.org/10.1109/tpami.2024.3459932openalex-snapshot
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting
inferred← citeshttps://doi.org/10.1111/exsy.70091openalex-snapshot
Comprehensive Review of Graph Neural Networks: Challenges, Classification, Architectures, Applications, and Potential Utility in Bioinformatics
inferred← citeshttps://doi.org/10.1139/cjm-2025-0038openalex-snapshot
A comprehensive guide to selecting the right modeling strategy for explanatory and predictive data analysis
inferred← citeshttps://doi.org/10.1145/3511808.3557419openalex-snapshot
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
inferred← citeshttps://doi.org/10.1145/3578931openalex-snapshot
Examining User Heterogeneity in Digital Experiments
inferred← citeshttps://doi.org/10.1145/3580305.3599410openalex-snapshot
Learning Strong Graph Neural Networks with Weak Information
inferred← citeshttps://doi.org/10.1145/3589334.3645586openalex-snapshot
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
inferred← citeshttps://doi.org/10.1145/3605801.3605831openalex-snapshot
Joint Message Passing: Solving Heterogeneous Graphs Challenges in Few-Shot Object Detection
inferred← citeshttps://doi.org/10.1145/3660852openalex-snapshot
Unifying Graph Neural Networks with a Generalized Optimization Framework
inferred← citeshttps://doi.org/10.1145/3687481openalex-snapshot
Cluster-Based Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3690624.3709197openalex-snapshot
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
inferred← citeshttps://doi.org/10.1145/3712604openalex-snapshot
Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning
inferred← citeshttps://doi.org/10.1145/3745024openalex-snapshot
Light Dynamic Graph Learning on Temporal Networks
inferred← citeshttps://doi.org/10.1145/3745533.3745582openalex-snapshot
A GNN-based Fraud Detection with Label Embedding and Propagation
inferred← citeshttps://doi.org/10.1145/3797905.3807875openalex-snapshot
DynLP: Parallel Dynamic Batch Update for Label Propagation in Graph-based Semi-Supervised Learning
inferred← citeshttps://doi.org/10.1287/ijoc.2023.0274openalex-snapshot
Social Network Prediction Problems: Using Meta-Paths and Dynamic Heterogeneous Graph Representation for Label Propagation
inferred← citeshttps://doi.org/10.3389/fphy.2026.1901452openalex-snapshot
Ground family education explanation based on visibility graph of complex network by temporal community division
inferred← citeshttps://doi.org/10.3390/aerospace12050407openalex-snapshot
Research on the Automatic Multi-Label Classification of Flight Instructor Comments Based on Transformer and Graph Neural Networks
inferred← citeshttps://doi.org/10.3390/s24082591openalex-snapshot
Improving Graph Convolutional Network with Learnable Edge Weights and Edge-Node Co-Embedding for Graph Anomaly Detection
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.