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Representation Learning

18863 directly classified papers

Papers per year

Papers

Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation AAAI 2026

Dual-Perspective Disentanglement: Learning Symmetric Group-Aware Representations for Cross-Domain Recommendation AAAI 2026

MM4Rec: Multi-Source and Multi-Scenario Recommender for Unified User Preference AAAI 2026

Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure AAAI 2026

Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026

HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings AAAI 2026

AutoGameUI: Constructing High-Fidelity GameUI via Multimodal Correspondence Matching AAAI 2026

Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction AAAI 2026

PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation AAAI 2026

Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute AAAI 2026

DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering AAAI 2026

Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection AAAI 2026

Score-Based Model for Low-Rank Tensor Recovery AAAI 2026

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026

Statistically Robust Sparse High-order Interaction Model AAAI 2026

FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding AAAI 2026

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing AAAI 2026

DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning AAAI 2026

Visual Bridge: Universal Visual Perception Representations Generating AAAI 2026

FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions AAAI 2026

Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction AAAI 2026

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026

HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026

METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes AAAI 2026

Context-aware Graph Meta-learning AAAI 2026