59 citations · 180 across the 28 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024★ 2 cited
Exploring the Potential of Large Language Models in Graph Generation
Yang Yao, Xin Wang, Zeyang Zhang +6
Large language models (LLMs) have achieved great success in many fields, and recent works have studied exploring LLMs for graph discriminative tasks such as node classification. Ho…
cs.LG2024★ 3 cited
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
Zeyang Zhang, Xin Wang, Ziwei Zhang +3
The existing graph neural architecture search (GNAS) methods heavily rely on supervised labels during the search process, failing to handle ubiquitous scenarios where supervisions…
cs.LG2024★ 3 cited
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Zeyang Zhang, Xin Wang, Ziwei Zhang +5
Dynamic graph neural networks (DyGNNs) currently struggle with handling distribution shifts that are inherent in dynamic graphs. Existing work on DyGNNs with out-of-distribution se…