Zihan Yang

most citedHelios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.supr-con2024★ 2 cited

Pressure induced superconducting dome in LaNiGa2

Yanan Zhang, Dajun Su, Zhaoyang Shan +13

LaNiGa2 is a time-reversal symmetry breaking superconductor with symmetry protected band crossings, making it an ideal platform for investigating the interplay between unconvention…

cond-mat.supr-con2024

Ac $_{3}$ Ni $_{2}$ O $_{7}$ and La $_{2}$ $A e$ Ni $_{2}$ O $_{6}$ F ( $A e$ = Sr, Ba): Benchmark Materials for Bilayer Nickelate Superconductivity

Siqi Wu, Zihan Yang, Xin Ma +5

We theoretically propose Ac $_{3}$ Ni $_{2}$ O $_{7}$ , La $_{2}$ BaNi $_{2}$ O $_{6}$ F, and La $_{2}$ SrNi $_{2}$ O $_{6}$ F compounds to be benchmark materials for bilayer nickelate superconductivity. The stable p…

cs.DC2023★ 3 cited

Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance

Jie Sun, Mo Sun, Zheng Zhang +6

Training graph neural networks (GNNs) on large-scale graph data holds immense promise for numerous real-world applications but remains a great challenge. Several disk-based GNN sys…

Pressure induced superconducting dome in LaNiGa2

Ac3​Ni2​O7​ and La2​AeNi2​O6​F (Ae = Sr, Ba): Benchmark Materials for Bilayer Nickelate Superconductivity

Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance

Ac $_{3}$ Ni $_{2}$ O $_{7}$ and La $_{2}$ $A e$ Ni $_{2}$ O $_{6}$ F ( $A e$ = Sr, Ba): Benchmark Materials for Bilayer Nickelate Superconductivity