Zhen Han

发表

Continuous Temporal Graph Networks for Event-Based Graph Data

Volker Tresp, Yuyi Wang, Jin Guo, 2022, DLG4NLP.

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations

Hinrich Schütze, Volker Tresp, Ruotong Liao, 2022, arXiv.org.

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Zhen Han, Kun He, Yunpu Ma, 2021, EMNLP.

Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs

Volker Tresp, Peng Chen, Yunpu Ma, 2021, ICLR.

Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework

Volker Tresp, Zhen Han, Yunpu Ma, 2021, EMNLP.

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs

Volker Tresp, Zifeng Ding, Zhen Han, 2021, EMNLP.

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

Stephan Günnemann, Zhen Han, Yunpu Ma, 2020, AKBC.

Temporal Knowledge Graph Forecasting with Neural ODE

Volker Tresp, Yunpu Ma, Zifeng Ding, 2021, ArXiv.

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion pdf

Zhen Han, Peng Chen, Yunpu Ma, 2020, EMNLP.

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs pdf

Stephan Günnemann, Zhen Han, Volker Tresp, 2020, ArXiv.

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs

Yunpu Ma, Volker Tresp, Yujia Gu, 2021, EMNLP.

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction

Volker Tresp, Yunpu Ma, Zifeng Ding, 2022, 2023 International Joint Conference on Neural Networks (IJCNN).

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion

Roger Wattenhofer, Matthias Schubert, Zhao Meng, 2022, SPNLP.

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

Volker Tresp, Yunpu Ma, Zhen Han, 2020, ArXiv.