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heterophilic graph

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Co-occurring keywords · papers mentioning both

graph neural network (30) node classification (8) graph contrastive learning (6) message passing (6) self-supervised learning (6) homophilic graph (4) contrastive learning (4) representation learning (4) node representation (3) graph representation learning (3)

Papers

Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees AAAI 2026 DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning AAAI 2026 FraudGNAM: Inherently Interpretable Spectral GNN for Graph Fraud Detection UAI 2026 GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs AAAI 2026 Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning AAAI 2026 Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement UAI 2026 Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026 All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning IJCAI 2025 Asymmetric Learning for Spectral Graph Neural Networks AAAI 2025 Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs ICLR 2025 Exploring the Potential of Large Language Models for Heterophilic Graphs NAACL 2025 HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting AAAI 2025 Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks IJCAI 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025 Multi-View Graph Clustering via Node-Guided Contrastive Encoding ICML 2025 Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs UAI 2025 Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory ICML 2025 Universal Graph Self-Contrastive Learning IJCAI 2025 Graph Adversarial Diffusion Convolution ICML 2024 HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph IJCAI 2024 HoloNets: Spectral Convolutions do extend to Directed Graphs ICLR 2024 How Graph Neural Networks Learn: Lessons from Training Dynamics ICML 2024 Improving Graph Contrastive Learning via Adaptive Positive Sampling CVPR 2024 Kumaraswamy Wavelet for Heterophilic Scene Graph Generation AAAI 2024 Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs ICML 2024