Unleashing the power of graph data augmentation on covariate distribution shift
The issue of distribution shifts is emerging as a critical concern in graph representation
learning. From the perspective of invariant learning and stable learning, a recently well …
learning. From the perspective of invariant learning and stable learning, a recently well …
Re-sort: Removing spurious correlation in multilevel interaction for ctr prediction
Click-through rate (CTR) prediction is a critical task in recommendation systems, serving as
the ultimate filtering step to sort items for a user. Most recent cutting-edge methods primarily …
the ultimate filtering step to sort items for a user. Most recent cutting-edge methods primarily …
REFORM: Removing False Correlation in Multi-level Interaction for CTR Prediction
Click-through rate (CTR) prediction is a critical task in online advertising and
recommendation systems, as accurate predictions are essential for user targeting and …
recommendation systems, as accurate predictions are essential for user targeting and …
Information Enhancement Graph Representation Learning
J Wang, J Peng, T Geng, P Yi, S Liao… - Available at SSRN …, 2024 - papers.ssrn.com
Graph representation learning is an important and fundamental research concentration in
complex networks. Graph neural networks design excellent filters and perform positively in …
complex networks. Graph neural networks design excellent filters and perform positively in …
[PDF][PDF] New Media Adaptation in Sri Lanka: Streaming Video Utilization in Colombo District
SMDD Samarakoon, MGM Johar… - Journal of Management & …, 2023 - researchgate.net
New media has been superimposed by the traditional media including radio, television and
newspapers. Along with the penetration of the internet and the popularity of use of the social …
newspapers. Along with the penetration of the internet and the popularity of use of the social …