20 citations · 40 across the 3 of their papers we have counts for
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cs.LG2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Tongya Zheng, Tianli Zhang, Qingzheng Guan +4
Graph Neural Networks have emerged as an effective machine learning tool for multi-disciplinary tasks such as pharmaceutical molecule classification and chemical reaction predictio…
cs.LG2023★ 20 cited
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Tongya Zheng, Xinchao Wang, Zunlei Feng +6
Temporal graphs exhibit dynamic interactions between nodes over continuous time, whose topologies evolve with time elapsing. The whole temporal neighborhood of nodes reveals the va…