graph representation learning

Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency AAAI 2026 Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026 MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model AAAI 2026 MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation AAAI 2026 Multimodal Graph Representation Learning with Dynamic Information Pathways AAAI 2026 Transferable Graph Condensation from the Causal Perspective AAAI 2026 A Centrality-based Graph Learning Framework IJCAI 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025 Adversarial Contrastive Graph Augmentation with Counterfactual Regularization AAAI 2025 An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection IJCAI 2025 Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning AAAI 2025 Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach AAAI 2025 CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning COLING 2025 Centrality-guided Pre-training for Graph ICLR 2025 Cross-View Graph Consistency Learning for Invariant Graph Representations AAAI 2025 Disentangled Contrastive Bundle Recommendation with Conditional Diffusion AAAI 2025 Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025 Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms ICML 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 2025 Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning AAAI 2025 GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning AAAI 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype IJCAI 2025