graph neural network

Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis IJCAI 2025 DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models IJCAI 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 Domain Adaptive Unfolded Graph Neural Networks AAAI 2025 Dual-branch Graph Feature Learning for NLOS Imaging AAAI 2025 Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection IJCAI 2025 DUALFormer: Dual Graph Transformer ICLR 2025 DuoCLR: Dual-Surrogate Contrastive Learning for Skeleton-based Human Action Segmentation ICCV 2025 DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition CVPR 2025 DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction UAI 2025 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 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 E(3)-equivariant models cannot learn chirality: Field-based molecular generation ICLR 2025 Each graph is a new language: Graph Learning with LLMs ACL 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