Machine Learning

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation ICML 2025 Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025 Graph Consistency and Diversity Measurement for Federated Multi-View Clustering AAAI 2025 Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology AAAI 2025 Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction ICCV 2025 Graph Embedded Contrastive Learning for Multi-View Clustering IJCAI 2025 Graph-Embedded Structure-Aware Perceptual Hashing for Neural Network Protection and Piracy Detection CVPR 2025 GraphGPT: Generative Pre-trained Graph Eulerian Transformer ICML 2025 Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning ACL 2025 GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning CVPR 2025 Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights ACL 2025 GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design NAACL 2025 Graph Inverse Style Transfer for Counterfactual Explainability ICML 2025 GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction EMNLP 2025 Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects AISTATS 2025 GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning CVPR 2025 Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025 Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision CVPR 2025 Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models NAACL 2025 Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation ICML 2025 Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective ICLR 2025 Graph Neural Networks Can (Often) Count Substructures ICLR 2025 Graph Neural Networks for Databases: A Survey IJCAI 2025 Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance ICLR 2025