research
∙
08/21/2023
Simple Cycle Reservoirs are Universal
Reservoir computation models form a subclass of recurrent neural network...
share
research
∙
02/11/2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Task-agnostic cross-domain pre-training shows great potential in image-b...
research
∙
11/15/2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification
The decoupled Graph Convolutional Network (GCN), a recent development of...
research
∙
09/23/2022
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
Session-based recommendation (SBR) systems aim to utilize the user's sho...
research
∙
06/21/2022
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks
Node classification on attributed networks is a semi-supervised task tha...
research
∙
12/22/2021
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition
Most action recognition models today are highly parameterized, and evalu...
research
∙
12/08/2021
Uncovering the Local Hidden Community Structure in Social Networks
Hidden community is a useful concept proposed recently for social networ...
research
∙
08/25/2020
Local Generalization and Bucketization Technique for Personalized Privacy Preservation
Anonymization technique has been extensively studied and widely applied ...
research
∙
08/25/2020
