Graph Neural Networks

Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning AAAI 2025 Dynamic Graph Learning with Static Relations for Credit Risk Assessment AAAI 2025 Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation COLING 2025 Dynamic Group Detection using VLM-augmented Temporal Groupness Graph ICCV 2025 Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations AAAI 2025 Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation AAAI 2025 Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning IJCAI 2025 Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025 Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction AAAI 2025 Dynamic Spectral Graph Anomaly Detection AAAI 2025 DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation ICML 2025 E(3)-equivariant models cannot learn chirality: Field-based molecular generation ICLR 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification ICML 2025 Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model AAAI 2025 Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs COLING 2025 Edge Prompt Tuning for Graph Neural Networks ICLR 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction ICML 2025 Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model ICLR 2025 Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity ICML 2025 Efficient Dynamic Graphs Learning with Refined Batch Parallel Training IJCAI 2025 Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation ICML 2025 Efficient Traffic Prediction Through Spatio-Temporal Distillation AAAI 2025 Efficient Unlearning for Spatio-temporal Graph (Student Abstract) AAAI 2025 ELoRA: Low-Rank Adaptation for Equivariant GNNs ICML 2025 Embracing Large Language Models in Traffic Flow Forecasting ACL 2025