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graph classification
212 papers
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Co-occurring keywords
graph neural network
(3945)
node classification
(480)
graph kernel
(66)
representation learning
(6174)
graph representation learning
(246)
graph pooling
(38)
graph convolution
(183)
graph representation
(359)
contrastive learning
(3979)
kernel methods
(1096)
Papers
SSHPool: The Separated Subgraph-based Hierarchical Pooling
AAAI 2026
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
AAAI 2026
Conditional Distribution Learning for Graph Classification
AAAI 2026
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
AAAI 2026
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
IJCAI 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
AAAI 2025
Cluster-guided Contrastive Class-imbalanced Graph Classification
AAAI 2025
Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract)
IJCAI 2025
Clean-Label Graph Backdoor Attack in the Node Classification Task
AAAI 2025
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
AAAI 2025
Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck
AAAI 2025
SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration
AAAI 2025
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
AAAI 2025
Core Knowledge Learning Framework for Graph
AAAI 2025
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
AAAI 2025
Semi-Implicit Neural Ordinary Differential Equations
AAAI 2025
Can Large Language Models Tackle Graph Partitioning?
EMNLP 2025
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
AAAI 2025
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
ACL 2025
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
IJCAI 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
AAAI 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
CVPR 2025
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
IJCAI 2025
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
IJCAI 2025
Efficient Environmental Claim Detection with Hyperbolic Graph Neural Networks
AACL 2025
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