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node classification

482 papers

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Co-occurring keywords

graph neural network (3962) link prediction (624) semi-supervised learning (2341) representation learning (6206) graph classification (212) graph representation learning (246) message passing (579) graph representation (360) graph convolutional network (658) network embedding (111)

Papers

From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning AAAI 2026

CITE: Benchmarking Heterogeneous Text-Attributed Graph Models ACL 2026

GIER: Addressing Class Imbalance in GNNs Through Experience Replay AAAI 2026

CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness AAAI 2026

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

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning ACL 2026

Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks AAAI 2026

DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification AAAI 2026

Spiking Heterogeneous Graph Attention Networks AAAI 2026

Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels AAAI 2026

Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026

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

Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models AAAI 2026

Fair Graph Learning with Limited Sensitive Attribute Information AAAI 2026

Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach EACL 2026

How to Make LMs Strong Node Classifiers? EACL 2026

Multimodal Graph Representation Learning with Dynamic Information Pathways AAAI 2026

MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model AAAI 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

Posterior Label Smoothing for Node Classification AAAI 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

Self-Adaptive Graph Mixture of Models AAAI 2026

LGA: LLM-GNN Aggregation for Temporal Evolution Attribute Graph Prediction EMNLP 2025