Zifeng Ding | DeepAI

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∙ 04/02/2023

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning

Temporal knowledge graph completion (TKGC) aims to predict the missing l...

0 Zifeng Ding, et al. ∙

∙ 11/15/2022

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

Knowledge graph completion (KGC) aims to predict the missing links among...

0 Zifeng Ding, et al. ∙

∙ 08/12/2022

Forecasting Question Answering over Temporal Knowledge Graphs

Question answering over temporal knowledge graphs (TKGQA) has recently f...

0 Zifeng Ding, et al. ∙

∙ 05/21/2022

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

Few-shot relational learning for static knowledge graphs (KGs) has drawn...

0 Zifeng Ding, et al. ∙

∙ 03/17/2022

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations

With the emerging research effort to integrate structured and unstructur...

0 Zhen Han, et al. ∙

∙ 12/14/2021

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion

While knowledge graphs contain rich semantic knowledge of various entiti...

0 Zifeng Ding, et al. ∙

∙ 01/13/2021

Temporal Knowledge Graph Forecasting with Neural ODE

Learning node representation on dynamically-evolving, multi-relational g...

0 Zifeng Ding, et al. ∙

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