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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
'10
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'25

Papers (including subtopics)

Asymmetric Learning for Spectral Graph Neural Networks AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries AAAI 2025
Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning AAAI 2025
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation AAAI 2025
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization AAAI 2025
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks AAAI 2025
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification AAAI 2025
RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios AAAI 2025
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization AAAI 2025
HyperDefender: A Robust Framework for Hyperbolic GNNs AAAI 2025
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach AAAI 2025
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification AAAI 2025
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation AAAI 2025
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization AAAI 2025
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning AAAI 2025
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions AAAI 2025
Learning Deep Dissipative Dynamics AAAI 2025
Deep Disentangled Metric Learning AAAI 2025
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification AAAI 2025
PowerMLP: An Efficient Version of KAN AAAI 2025
Enhancing Masked Time-Series Modeling via Dropping Patches AAAI 2025
Efficient 3D Recognition with Event-driven Spike Sparse Convolution AAAI 2025
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System AAAI 2025