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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026

Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling AAAI 2026

Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit AAAI 2026

GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs AAAI 2026

Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion AAAI 2026

TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective AAAI 2026

Anchor-Driven Nyström for Deep Graph-Level Clustering AAAI 2026

Adaptive Riemannian Graph Neural Networks AAAI 2026

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs AAAI 2026

SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026

Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning AAAI 2026

FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering AAAI 2026

Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs AAAI 2026

Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction AAAI 2026

Dual Graph Disambiguation for Multi-Instance Partial-Label Learning AAAI 2026

Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning AAAI 2026

Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering AAAI 2026

rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality AAAI 2026

Federated Graph-level Clustering Network with Attribute Inference AAAI 2026

Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily AAAI 2026

HINPool: A Unified Heterogeneous Graph Pooling Framework for Accurate Molecular and Protein Property Prediction AAAI 2026

Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs AAAI 2026

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption AAAI 2026

Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026

DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation AAAI 2026