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cs.LG2026
FOCAL-Attention for Heterogeneous Multi-Label Prediction
Chenghao Zhang, Qingqing Long, Ludi Wang +3
Heterogeneous graphs have attracted increasing attention for modeling multi-typed entities and relations in complex real-world systems. Multi-label node classification on heterogen…
cs.LG2025
CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials
Chenghao Zhang, Qingqing Long, Ludi Wang +3
Text-attributed graphs(TAGs) are pervasive in real-world systems,where each node carries its own textual features. In many cases these graphs are inherently heterogeneous, containi…
cs.LG2024★ 2 cited
CataLM: Empowering Catalyst Design Through Large Language Models
Ludi Wang, Xueqing Chen, Yi Du +3
The field of catalysis holds paramount importance in shaping the trajectory of sustainable development, prompting intensive research efforts to leverage artificial intelligence (AI…