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Found 6 papers, 4 papers with code
Predicting Continuous Locomotion Modes via Multidimensional Feature Learning from sEMG
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.
Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models
We evaluated two deep learning models for OBI recognition, and have designed an API that can be accessed online for OBI recognition.
Deoscillated Graph Collaborative Filtering
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.
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
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
Graph Neural Lasso for Dynamic Network Regression
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.
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
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
