Co-occurring keywords · papers mentioning both
Papers
AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning
ACL 2026
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
AAAI 2026
Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method
AAAI 2026
CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness
AAAI 2026
CITE: Benchmarking Heterogeneous Text-Attributed Graph Models
ACL 2026
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models
AAAI 2026
DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification
AAAI 2026
DynamicGTR: Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities on Graph QAs
CVPR 2026
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 2026
From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning
AAAI 2026
Gaussian Process Limit Reveals Structural Benefits of Graph Transformers
UAI 2026
GIER: Addressing Class Imbalance in GNNs Through Experience Replay
AAAI 2026
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
UAI 2026
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
AAAI 2026
Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
AAAI 2026
How to Make LMs Strong Node Classifiers?
EACL 2026
Hyperbolic Busemann Neural Networks
CVPR 2026
Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives
AAAI 2026
MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model
AAAI 2026
Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach
EACL 2026
Multimodal Graph Representation Learning with Dynamic Information Pathways
AAAI 2026
Posterior Label Smoothing for Node Classification
AAAI 2026
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels
AAAI 2026
Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
AAAI 2026
Self-Adaptive Graph Mixture of Models
AAAI 2026