89 citations · 195 across the 12 of their papers we have counts for
7 papers · 1 filter
Pretraining Language Models with Text-Attributed Heterogeneous Graphs
Tao Zou, Le Yu, Yifei Huang +2
In many real-world scenarios (e.g., academic networks, social platforms), different types of entities are not only associated with texts but also connected by various relationships…
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction
Tao Zou, Le Yu, Leilei Sun +3
Accurate prediction of what types of patents that companies will apply for in the next period of time can figure out their development strategies and help them discover potential p…
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
Zihang Liu, Le Yu, Tongyu Zhu +1
Spatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system. However, most existing methods focus on the model…
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification
Tao Zou, Le Yu, Junchen Ye +3
Patent classification aims to assign multiple International Patent Classification (IPC) codes to a given patent. Recent methods for automatically classifying patents mainly focus o…
An Empirical Evaluation of Temporal Graph Benchmark
Le Yu
In this paper, we conduct an empirical evaluation of Temporal Graph Benchmark (TGB) by extending our Dynamic Graph Library (DyGLib) to TGB. Compared with TGB, we include eleven pop…
Continuous-Time Graph Learning for Cascade Popularity Prediction
Xiaodong Lu, Shuo Ji, Le Yu +3
Information propagation on social networks could be modeled as cascades, and many efforts have been made to predict the future popularity of cascades. However, most of the existing…