4 papers
ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning
Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu +5
Graph Transformers (GTs) have emerged as a promising graph learning tool, leveraging their all-pair connected property to effectively capture global information. To address the ove…
1 Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge
Junwei Xu, Zehao Zhao, Xiaoyu Hu +1
The WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge focuses on effectively applying multimodal embedding features to improve click-through rate (CTR) prediction in r…
BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification
Jiacheng Hou, Zhenjie Song, Ercan Engin Kuruoglu
Recent studies have made great progress in functional brain network classification by modeling the brain as a network of Regions of Interest (ROIs) and leveraging their connections…
Signal Processing over Time-Varying Graphs: A Systematic Review
Yi Yan, Jiacheng Hou, Zhenjie Song +1
As irregularly structured data representations, graphs have received a large amount of attention in recent years and have been widely applied to various real-world scenarios such a…