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TailorNet: An Adaptive Collaborative Learning Framework for Imbalanced Multi-Relational Graphs via Tail Node Enhancement

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

inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot

Support-Vector Networks

inferredcites →https://doi.org/10.1007/s10707-024-00527-7openalex-snapshot

Periodicity aware spatial-temporal adaptive hypergraph neural network for traffic forecasting

inferredcites →https://doi.org/10.1007/s11704-024-40474-yopenalex-snapshot

Graph neural networks for financial fraud detection: a review

inferredcites →https://doi.org/10.1016/j.eswa.2024.124602openalex-snapshot

Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification

inferredcites →https://doi.org/10.1016/j.ins.2020.03.027openalex-snapshot

Multi-view ensemble learning based on distance-to-model and adaptive clustering for imbalanced credit risk assessment in P2P lending

inferredcites →https://doi.org/10.1016/j.ins.2024.121507openalex-snapshot

MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction

inferredcites →https://doi.org/10.1016/j.neucom.2025.130063openalex-snapshot

Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels

inferredcites →https://doi.org/10.1109/tkde.2023.3313355openalex-snapshot

Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks

inferredcites →https://doi.org/10.1145/2488388.2488466openalex-snapshot

From amateurs to connoisseurs

inferredcites →https://doi.org/10.1145/2783258.2783370openalex-snapshot

Collective Opinion Spam Detection

inferredcites →https://doi.org/10.1145/316194.316229openalex-snapshot

On power-law relationships of the Internet topology

inferredcites →https://doi.org/10.1145/3292500.3330950openalex-snapshot

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

inferredcites →https://doi.org/10.1145/3394486.3403063openalex-snapshot

NodeAug: Semi-Supervised Node Classification with Data Augmentation

inferredcites →https://doi.org/10.1609/aaai.v37i9.26319openalex-snapshot

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification

inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot

SMOTE: Synthetic Minority Over-sampling Technique

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.