22 citations · 59 across the 7 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 4 cited
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
Zhen Han, Yunpu Ma, Peng Chen +1
There has recently been increasing interest in learning representations of temporal knowledge graphs (KGs), which record the dynamic relationships between entities over time. Tempo…
cs.LG2020★ 19 cited
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
Zhen Han, Peng Chen, Yunpu Ma +1
Modeling time-evolving knowledge graphs (KGs) has recently gained increasing interest. Here, graph representation learning has become the dominant paradigm for link prediction on t…
cs.LG2020★ 13 cited
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…