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Learning Graph Neural Networks with Positive and Unlabeled Nodes

https://doi.org/10.1145/3450316
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What this work says

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

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/icdm.2003.1250918openalex-snapshot
Building text classifiers using positive and unlabeled examples
inferredcites →https://doi.org/10.1109/icdm.2011.119openalex-snapshot
Positive and Unlabeled Learning for Graph Classification
inferredcites →https://doi.org/10.1109/icdm.2019.00075openalex-snapshot
Domain-Adversarial Graph Neural Networks for Text Classification
inferredcites →https://doi.org/10.1109/tcyb.2016.2527239openalex-snapshot
Positive and Unlabeled Multi-Graph Learning
inferredcites →https://doi.org/10.1109/tcyb.2019.2932096openalex-snapshot
Learning Graph Embedding With Adversarial Training Methods
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot
DeepWalk
inferredcites →https://doi.org/10.1145/2736277.2741093openalex-snapshot
LINE
inferredcites →https://doi.org/10.1145/2939672.2939753openalex-snapshot
Structural Deep Network Embedding
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1145/3110025.3110035openalex-snapshot
Deep Network Embedding with Aggregated Proximity Preserving
inferredcites →https://doi.org/10.1145/3178876.3186114openalex-snapshot
On Exploring Semantic Meanings of Links for Embedding Social Networks
inferredcites →https://doi.org/10.1145/3357384.3358122openalex-snapshot
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning
inferredcites →https://doi.org/10.1145/3366423.3380219openalex-snapshot
Unsupervised Domain Adaptive Graph Convolutional Networks
inferredcites →https://doi.org/10.1162/089976601750264965openalex-snapshot
Estimating the Support of a High-Dimensional Distribution
inferredcites →https://doi.org/10.1609/aaai.v30i1.10179openalex-snapshot
Deep Neural Networks for Learning Graph Representations
inferredcites →https://doi.org/10.1609/aaai.v32i1.11691openalex-snapshot
Adaptive Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/p18-1187openalex-snapshot
Semi-supervised User Geolocation via Graph Convolutional Networks
inferredcites →https://doi.org/10.24963/ijcai.2018/438openalex-snapshot
ANRL: Attributed Network Representation Learning via Deep Neural Networks
inferredcites →https://doi.org/10.24963/ijcai.2019/509openalex-snapshot
Attributed Graph Clustering: A Deep Attentional Embedding Approach
inferredcites →https://doi.org/10.25675/3.021826openalex-snapshot
Protein interface prediction using graph convolutional networks
inferredcites →https://doi.org/10.48550/arxiv.1505.00853openalex-snapshot
Empirical Evaluation of Rectified Activations in Convolutional Network
inferredcites →https://doi.org/10.48550/arxiv.1506.05163openalex-snapshot
Deep Convolutional Networks on Graph-Structured Data
inferredcites →https://doi.org/10.48550/arxiv.1509.09292openalex-snapshot
Convolutional Networks on Graphs for Learning Molecular Fingerprints
inferredcites →https://doi.org/10.48550/arxiv.1606.08561openalex-snapshot
Estimating the class prior and posterior from noisy positives and unlabeled data
inferredcites →https://doi.org/10.48550/arxiv.1606.09375openalex-snapshot
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1611.07308openalex-snapshot
Variational Graph Auto-Encoders
inferredcites →https://doi.org/10.48550/arxiv.1703.00593openalex-snapshot
Positive-Unlabeled Learning with Non-Negative Risk Estimator
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-snapshot
Inductive Representation Learning on Large Graphs
inferredcites →https://doi.org/10.48550/arxiv.1710.04908openalex-snapshot
Graph Convolutional Networks for Classification with a Structured Label Space
inferredcites →https://doi.org/10.48550/arxiv.1802.04407openalex-snapshot
Adversarially Regularized Graph Autoencoder for Graph Embedding
inferredcites →https://doi.org/10.48550/arxiv.1803.07294openalex-snapshot
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
inferredcites →https://doi.org/10.48550/arxiv.1806.02473openalex-snapshot
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
inferredcites →https://doi.org/10.48550/arxiv.1810.00826openalex-snapshot
How Powerful are Graph Neural Networks?
inferredcites →https://doi.org/10.48550/arxiv.1911.06455openalex-snapshot
Graph Transformer Networks
inferredcites →https://doi.org/10.48550/arxiv.2006.13009openalex-snapshot
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
inferredcites →https://doi.org/10.48550/arxiv.2011.08843openalex-snapshot
Design Space for Graph Neural Networks

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-43427-3_15openalex-snapshot
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels
inferred← citeshttps://doi.org/10.1007/s10115-025-02547-7openalex-snapshot
Graph neural networks for positive and unlabeled learning: a rewiring approach
inferred← citeshttps://doi.org/10.1007/s10489-023-05004-6openalex-snapshot
Bi-directional matrix completion for highly incomplete multi-label learning via co-embedding predictive side information
inferred← citeshttps://doi.org/10.1007/s10489-025-06402-8openalex-snapshot
Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs
inferred← citeshttps://doi.org/10.1007/s11042-022-12379-0openalex-snapshot
Dual-aligned unsupervised domain adaptation with graph convolutional networks
inferred← citeshttps://doi.org/10.1016/j.future.2021.08.005openalex-snapshot
Guest Editorial: Graph-powered machine learning in future-generation computing systems
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102553openalex-snapshot
Bootstrap Latent Prototypes for graph positive-unlabeled learning
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104581openalex-snapshot
Graph attention convolutional networks for interpretable multi-hop knowledge graph reasoning
inferred← citeshttps://doi.org/10.1016/j.jnca.2022.103357openalex-snapshot
Multi-Batches Revenue Maximization for competitive products over online social network
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131462openalex-snapshot
Representative negative sampling for graph positive-unlabeled learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.03.022openalex-snapshot
DropAGG: Robust Graph Neural Networks via Drop Aggregation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107630openalex-snapshot
Graph positive-unlabeled learning via Bootstrapping Label Disambiguation
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033448openalex-snapshot
Semi-Supervised Positive Unlabeled Fault Diagnosis Based on Multimodal iMambaformer Network
inferred← citeshttps://doi.org/10.1109/cspa60979.2024.10525319openalex-snapshot
Hybrid Graph Neural Networks with LSTM Attention Mechanism for Recommendation Systems in MOOCs
inferred← citeshttps://doi.org/10.1109/iccea62105.2024.10603982openalex-snapshot
Ontology-based Vulnerability Knowledge Graph of Network Routing Mechanism
inferred← citeshttps://doi.org/10.1109/icmla58977.2023.00198openalex-snapshot
Novel Representation Learning Technique Using Graphs for Performance Analytics
inferred← citeshttps://doi.org/10.1109/jproc.2023.3337442openalex-snapshot
A Comprehensive Survey on Distributed Training of Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/tifs.2022.3201392openalex-snapshot
PeGraph: A System for Privacy-Preserving and Efficient Search Over Encrypted Social Graphs
inferred← citeshttps://doi.org/10.1109/tifs.2022.3210881openalex-snapshot
OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service
inferred← citeshttps://doi.org/10.1109/tkde.2021.3119326openalex-snapshot
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tkde.2022.3144250openalex-snapshot
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
inferred← citeshttps://doi.org/10.1109/tkde.2023.3266449openalex-snapshot
PrigSim: Towards Privacy-Preserving Graph Similarity Search as a Cloud Service
inferred← citeshttps://doi.org/10.1109/tmm.2023.3263552openalex-snapshot
Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3216630openalex-snapshot
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming
inferred← citeshttps://doi.org/10.1109/tsc.2023.3241615openalex-snapshot
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
inferred← citeshttps://doi.org/10.1145/3583780.3615250openalex-snapshot
Positive-Unlabeled Node Classification with Structure-aware Graph Learning
inferred← citeshttps://doi.org/10.1145/3626528openalex-snapshot
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
inferred← citeshttps://doi.org/10.1145/3633783openalex-snapshot
Parameter-Agnostic Deep Graph Clustering
inferred← citeshttps://doi.org/10.1145/3700444openalex-snapshot
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm
inferred← citeshttps://doi.org/10.3390/math12172769openalex-snapshot
Hypergraph-Based Influence Maximization in Online Social Networks
inferred← citeshttps://doi.org/10.3390/math9243189openalex-snapshot
Influence Maximization Based on Backward Reasoning in Online Social Networks
inferred← citeshttps://doi.org/10.3390/sym15010117openalex-snapshot
Maximizing the Influence Spread in Social Networks: A Learning-Automata-Driven Discrete Butterfly Optimization Algorithm
inferred← citeshttps://doi.org/10.48084/etasr.9443openalex-snapshot
Enhanced Variational Graph Convolutional Networks with Multi-Scale Convolutions and Attention Mechanisms for Dynamic Network Analysis
inferred← citeshttps://doi.org/10.5753/eniac.2023.234337openalex-snapshot
Positive Unlabeled Learning: Adapting NMF for text classification
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