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20062023
most citedXGNN: Towards Model-Level Explanations of Graph Neural Networks

272 citations · 678 across the 19 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cond-mat.supr-con2021

NbReSi: A Noncentrosymetric Superconductor with Large Upper Critical Field

H. Su, T. Shang, F. Du +6

We report the discovery of superconductivity in noncentrosymmetric NbReSi, which crystallizes in a hexagonal ZrNiAl-type crystal structure with space group (No.~189).…

cs.CL2021

A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

Shen Liu, Meirong Ma, Hao Yuan +3

Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different m…

cs.DC2021

BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond

Hao Yuan, Guoming Tang, Deke Guo +4

The year of 2020 has witnessed the unprecedented development of 5G networks, along with the widespread deployment of 5G base stations (BSs). Nevertheless, the enormous energy consu…

cond-mat.supr-con2021★ 14 cited

Fully gapped superconductivity with preserved time reversal symmetry in noncentrosymmetric LaPdIn

H. Su, Z. Y. Nie, F. Du +9

We report an investigation of the superconducting properties of the hexagonal noncentrosymmetric compound LaPdIn. Electrical resistivity, specific heat and ac susceptibility measur…

cs.LG2021★ 57 cited

DIG: A Turnkey Library for Diving into Graph Deep Learning Research

Meng Liu, Youzhi Luo, Limei Wang +13

Although there exist several libraries for deep learning on graphs, they are aiming at implementing basic operations for graph deep learning. In the research community, implementin…