no code implementations • 13 Nov 2023 • Peiwen Fu, Wenjuan Zhong, Yuyang Zhang, Wenxuan Xiong, Yuzhou Lin, Yanlong Tai, Lin Meng, Mingming Zhang
This term refers to the duration during which consistent and accurate predictions of mode transitions are made, measured from the time of the fifth correct prediction to the occurrence of the critical event leading to the task transition.
no code implementations • 3 May 2021 • Yoshiyuki Fujikawa, Hengyi Li, Xuebin Yue, Aravinda C V, Amar Prabhu G, Lin Meng
We evaluated two deep learning models for OBI recognition, and have designed an API that can be accessed online for OBI recognition.
1 code implementation • 4 Nov 2020 • Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu
Stacking multiple cross-hop propagation layers and locality layers constitutes the DGCF model, which models high-order CF signals adaptively to the locality of nodes and layers.
2 code implementations • 12 Sep 2019 • Jiawei Zhang, Lin Meng
Analysis about the causes of the suspended animation problem with existing GNNs will be provided in this paper, whereas several other peripheral factors that will impact the problem will be reported as well.
Ranked #23 on Node Classification on Cora
1 code implementation • 25 Jul 2019 • Yixin Chen, Lin Meng, Jiawei Zhang
Experimental results provided on two networked sequence datasets, i. e., Nasdaq-100 and METR-LA, show that GNL can address the network regression problem very well and is also very competitive among the existing approaches.
2 code implementations • 22 Jul 2019 • Lin Meng, Jiawei Zhang
However, unlike such fields, it is hard to apply traditional deep learning models on the graph data due to the 'node-orderless' property.
Ranked #1 on Graph Classification on HIV-fMRI-77