5 papers
Approximate Graph Propagation Revisited: Dynamic Parameterized Queries, Tighter Bounds and Dynamic Updates
Zhuowei Zhao, Zhuo Zhang, Hanzhi Wang +3
We revisit Approximate Graph Propagation (AGP), a unified framework which captures various graph propagation tasks, such as PageRank, feature propagation in Graph Neural Networks (…
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su, Wei Jiang, Fangquan Lin +6
In recommender systems, the patterns of user behaviors (e.g., purchase, click) may vary greatly in different contexts (e.g., time and location). This is because user behavior is jo…
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
Zuqing Li, Junhao Gan, Jianzhong Qi
Diffusion-based tabular data synthesis models have yielded promising results. However, when the data dimensionality increases, existing models tend to degenerate and may perform ev…
Towards Question Answering over Large Semi-structured Tables
Yuxiang Wang, Junhao Gan, Jianzhong Qi
Table Question Answering (TableQA) attracts strong interests due to the prevalence of web information presented in the form of semi-structured tables. Despite many efforts, TableQA…
Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters
Zhuowei Zhao, Junhao Gan, Boyu Ruan +3
We study structural clustering on graphs in dynamic scenarios, where the graphs can be updated by arbitrary insertions or deletions of edges/vertices. The goal is to efficiently co…