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Found 5 papers, 0 papers with code
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
Graph Neural Networks (GNNs) have proven to be powerful in many graph-based applications.
Revisiting Signed Propagation for Multi-Class Graph Neural Networks
This paper provides a new understanding of signed propagation for multi-class scenarios and points out two drawbacks in terms of message-passing and parameter update: (1) Message-passing: if two nodes belong to different classes but have a high similarity, signed propagation can decrease the separability.
Perturb Initial Features: Generalization of Neural Networks Under Sparse Features for Semi-supervised Node Classification
To the best of our knowledge, this is the first attempt to mitigate the overfitting caused by the initial features.
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels
The recent advent of play-to-earn (P2E) systems in massively multiplayer online role-playing games (MMORPGs) has made in-game goods interchangeable with real-world values more than ever before.
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation
A cross-domain recommendation has shown promising results in solving data-sparsity and cold-start problems.
