neighbor aggregation

Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment AAAI 2026 Uncertainty-Guided Metric Learning without Labels WACV 2025 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NeurIPS 2024 LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation AAAI 2024 LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily IJCAI 2024 Partitioning Message Passing for Graph Fraud Detection ICLR 2024 Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks NeurIPS 2024 DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery EMNLP 2023 Dynamic Group Link Prediction in Continuous-Time Interaction Network IJCAI 2023 Recurrent Temporal Revision Graph Networks NeurIPS 2023 Simple and Efficient Heterogeneous Graph Neural Network AAAI 2023 The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023 A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing EMNLP 2022 Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs NeurIPS 2022 Local Augmentation for Graph Neural Networks ICML 2022 Transformer-based Entity Typing in Knowledge Graphs EMNLP 2022 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models ICLR 2021 Adaptive Diffusion in Graph Neural Networks NeurIPS 2021 Context-aware Entity Typing in Knowledge Graphs EMNLP 2021 Universal Graph Convolutional Networks NeurIPS 2021 A graph similarity for deep learning NeurIPS 2020 Learning Signed Network Embedding via Graph Attention AAAI 2020 Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion AAAI 2020 Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks IJCAI 2019 GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks IJCAI 2019