Co-occurring keywords
Papers
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
AAAI 2025
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
AAAI 2025
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
AAAI 2025
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
COLING 2025
A Centrality-based Graph Learning Framework
IJCAI 2025
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
AAAI 2024
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
NIPS 2024
Kernel Readout for Graph Neural Networks
IJCAI 2024
An Impossibility Theorem for Node Embedding
AISTATS 2024