73 citations · 276 across the 38 of their papers we have counts for
5 papers · 1 filter
Continuous Temporal Graph Networks for Event-Based Graph Data
Jin Guo, Zhen Han, Zhou Su +3
There has been an increasing interest in modeling continuous-time dynamics of temporal graph data. Previous methods encode time-evolving relational information into a low-dimension…
Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs
Zhen Han, Yunpu Ma, Yuyi Wang +2
The Hawkes process has become a standard method for modeling self-exciting event sequences with different event types. A recent work has generalized the Hawkes process to a neurall…
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
Rui Ray Zhang, Xingwu Liu, Yuyi Wang +1
A crucial assumption in most statistical learning theory is that samples are independently and identically distributed (i.i.d.). However, for many real applications, the i.i.d. ass…
VC-Dimension Based Generalization Bounds for Relational Learning
Ondrej Kuzelka, Yuyi Wang, Steven Schockaert
In many applications of relational learning, the available data can be seen as a sample from a larger relational structure (e.g. we may be given a small fragment from some social n…
Learning from networked examples in a k-partite graph
Yuyi Wang, Jan Ramon, Zheng-Chu Guo
Many machine learning algorithms are based on the assumption that training examples are drawn independently. However, this assumption does not hold anymore when learning from a net…