Co-occurring keywords · papers mentioning both
Papers
Attribute-guided Dynamic Prompt Learning for Graph Neural Networks
AAAI 2026
AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks
ACML 2025
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
AAAI 2025
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
CVPR 2025
Zero-Shot Generalization of GNNs over Distinct Attribute Domains
ICML 2025
Attribute and Structure Preserving Graph Contrastive Learning
AAAI 2023
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)
AAAI 2023
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
ICML 2023
Neural Link Prediction with Walk Pooling
ICLR 2022
On the Equivalence Between Temporal and Static Equivariant Graph Representations
ICML 2022
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
ICLR 2020
Attributed Graph Clustering via Adaptive Graph Convolution
IJCAI 2019
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks
IJCAI 2019
Clustering Uncertain Graphs with Node Attributes
ACML 2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks
NeurIPS 2018
Leveraging Node Attributes for Incomplete Relational Data
ICML 2017
Radar: Residual Analysis for Anomaly Detection in Attributed Networks
IJCAI 2017