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← Core Methods
Machine Learning
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Core Methods
›
Representation Learning
18,863 papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection
AAAI 2024
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
AAAI 2024
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
AAAI 2024
Graph Neural Networks with Soft Association between Topology and Attribute
AAAI 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
AAAI 2024
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
AAAI 2024
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
AAAI 2024
Knowledge Enhanced Representation Learning for Drug Discovery
AAAI 2024
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
AAAI 2024
TREE-G: Decision Trees Contesting Graph Neural Networks
AAAI 2024
Continuous-Time Graph Representation with Sequential Survival Process
AAAI 2024
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
AAAI 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
AAAI 2024
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
AAAI 2024
Non-parametric Representation Learning with Kernels
AAAI 2024
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning
AAAI 2024
Improving Distinguishability of Class for Graph Neural Networks
AAAI 2024
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
AAAI 2024
Structured Probabilistic Coding
AAAI 2024
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
AAAI 2024
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024
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