link prediction

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning ACL 2026 ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning AAAI 2026 BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation MIDL 2026 Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity AAAI 2026 CITE: Benchmarking Heterogeneous Text-Attributed Graph Models ACL 2026 DRSoRec: Dual-Rectification of Social Networks for Recommendation AAAI 2026 DynamicGTR: Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities on Graph QAs CVPR 2026 Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction AAAI 2026 Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution AAAI 2026 Graph-Based Alternatives to LLMs for Human Simulation ACL 2026 How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs UAI 2026 Hyperbolic Busemann Neural Networks CVPR 2026 Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks AAAI 2026 Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks AAAI 2026 Mario: Multimodal Graph Reasoning with Large Language Models CVPR 2026 Multimodal Graph Representation Learning with Dynamic Information Pathways AAAI 2026 Poisson–Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs UAI 2026 Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction AAAI 2026 Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction AAAI 2026 THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs AAAI 2026 UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction AAAI 2026 Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs AAAI 2026 Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning AAAI 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025 An Evaluation of Approaches to Train Embeddings for Logical Inference (Student Abstract) AAAI 2025