graph neural network

Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction AAAI 2026 Spatial Graph Attention Network Modeling for Neighborhood-Scale Lead Contamination Risk Prediction Using Publicly Available Data AAAI 2026 Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction AAAI 2026 SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026 Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts AAAI 2026 STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation ACL 2026 Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction AAAI 2026 Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026 Surrogate as Teacher: Distillation-Guided Graph Poisoning Attack AAAI 2026 SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification AAAI 2026 T3former: Temporal Graph Classification with Topological Machine Learning AAAI 2026 Tab-PET: Graph-Based Positional Encodings for Tabular Transformers AAAI 2026 Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation AAAI 2026 Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning AAAI 2026 Task-Aware Retrieval Augmentation for Dynamic Recommendation AAAI 2026 Team Poznan at SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios SemEval 2026 Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation ACL 2026 The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic AAAI 2026 The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks AAAI 2026 THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs AAAI 2026 Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications AAAI 2026 TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data AAAI 2026 Token Pruning for Improving Graph-Generating State Space Model Performance EACL 2026 Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction AAAI 2026 Towards Human-Like Robot Handwriting via Contour-Aware Generation CVPR 2026