22 citations · 59 across the 7 of their papers we have counts for
7 papers
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…
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction
Zifeng Ding, Bailan He, Yunpu Ma +2
Few-shot relational learning for static knowledge graphs (KGs) has drawn greater interest in recent years, while few-shot learning for temporal knowledge graphs (TKGs) has hardly b…
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Haohai Sun, Jialun Zhong, Yunpu Ma +2
Temporal knowledge graph (TKG) reasoning is a crucial task that has gained increasing research interest in recent years. Most existing methods focus on reasoning at past timestamps…
Temporal Knowledge Graph Forecasting with Neural ODE
Zhen Han, Zifeng Ding, Yunpu Ma +2
There has been an increasing interest in inferring future links on temporal knowledge graphs (KG). While links on temporal KGs vary continuously over time, the existing approaches…
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…
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…
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…