← Architectures

Deep Learning › Architectures ›

Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices AAAI 2026

Leveraging Sparse Observations to Predict Species Abundance Across Space and Time AAAI 2026

MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging AAAI 2026

EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026

Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection AAAI 2026

Resilience Inference for Supply Chains with Hypergraph Neural Network AAAI 2026

Learning Heuristic Functions with Graph Neural Networks for Numeric Planning AAAI 2026

Learning Heuristic Functions for HTN Planning AAAI 2026

Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text AAAI 2026

GUIC: Certified Graph Unlearning with Individual Fairness Guarantees AAAI 2026

Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates AAAI 2026

A Boundary Token Graph for Zero-Shot Relation Triplet Extraction Involving Discontinuous Entities AAAI 2026

Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring AAAI 2026

DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion AAAI 2026

Sarcopenia Assessment Model Based on Dual-Source Modal Graph AAAI 2026

THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs AAAI 2026

S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning AAAI 2026

Graph Attention-Guided Search for Dense Multi-Agent Pathfinding AAAI 2026

Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation AAAI 2026

Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning AAAI 2026

PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation AAAI 2026

Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization AAAI 2026

How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation AAAI 2026

Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation AAAI 2026

SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs AAAI 2026