b'Yunpu Ma'

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 04/24/2022

Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion

Open-domain multi-turn conversations normally face the challenges of how...

0 Feifei Xu, et al. ∙

research

∙ 12/15/2021

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

Conventional static knowledge graphs model entities in relational data a...

0 Yushan Liu, et al. ∙

research

∙ 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. ∙

research

∙ 10/27/2021

MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs

In knowledge graph reasoning, we observe a trend to analyze temporal dat...

0 Christian M. M. Frey, et al. ∙

research

∙ 10/20/2021

SEA: Graph Shell Attention in Graph Neural Networks

A common issue in Graph Neural Networks (GNNs) is known as over-smoothin...

0 Christian M. M. Frey, et al. ∙

research

∙ 10/17/2021

3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers

3D reconstruction aims to reconstruct 3D objects from 2D views. Previous...

0 Zai Shi, et al. ∙

research

∙ 09/27/2021

The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding

We present a unified computational theory of perception and memory. In o...

5 Volker Tresp, et al. ∙

research

∙ 09/09/2021

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Temporal knowledge graph (TKG) reasoning is a crucial task that has gain...

0 Haohai Sun, et al. ∙

research

∙ 08/10/2021

Adaptive Multi-Resolution Attention with Linear Complexity

Transformers have improved the state-of-the-art across numerous tasks in...

0 Yao Zhang, et al. ∙

research

∙ 01/13/2021

Temporal Knowledge Graph Forecasting with Neural ODE

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

0 Zifeng Ding, et al. ∙

research

∙ 01/05/2021

Contrastive Learning for Recommender System

Recommender systems, which analyze users' preference patterns to suggest...

0 Zhuang Liu, et al. ∙

research

∙ 01/02/2021

KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation

We present Knowledge Enhanced Multimodal BART (KM-BART), which is a Tran...

0 Yiran Xing, et al. ∙

research

∙ 12/31/2020

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

Interest has been rising lately towards modeling time-evolving knowledge...

0 Zhen Han, et al. ∙

research

∙ 11/08/2020

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

There has recently been increasing interest in learning representations ...

0 Zhen Han, et al. ∙

research

∙ 10/11/2020

Controllable Multi-Character Psychology-Oriented Story Generation

Story generation, which aims to generate a long and coherent story autom...

1 Feifei Xu, et al. ∙

research

∙ 07/02/2020

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score

Randomized controlled trials typically analyze the effectiveness of trea...

0 Zhiliang Wu, et al. ∙

research

∙ 03/30/2020

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

The Hawkes process has become a standard method for modeling self-exciti...

0 Zhen Han, et al. ∙

research

∙ 03/30/2020

The Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

The Hawkes process has become a standard method for modeling self-exciti...

0 Zhen Han, et al. ∙

research

∙ 02/20/2020

Causal Inference under Networked Interference

Estimating individual treatment effects from data of randomized experime...

0 Yunpu Ma, et al. ∙

research

∙ 01/29/2020

The Tensor Brain: Semantic Decoding for Perception and Memory

We analyse perception and memory using mathematical models for knowledge...

0 Volker Tresp, et al. ∙

research

∙ 01/09/2020

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs

We propose a novel method for fact-checking on knowledge graphs based on...

0 Marcel Hildebrandt, et al. ∙

research

∙ 01/04/2020

Quantum Machine Learning Algorithm for Knowledge Graphs

Semantic knowledge graphs are large-scale triple-oriented databases for ...

0 Yunpu Ma, et al. ∙

research

∙ 01/02/2020

Reasoning on Knowledge Graphs with Debate Dynamics

We propose a novel method for automatic reasoning on knowledge graphs ba...

0 Marcel Hildebrandt, et al. ∙

research

∙ 02/19/2019

Variational Quantum Circuit Model for Knowledge Graphs Embedding

In this work, we propose the first quantum Ansätze for the statistical r...

0 Yunpu Ma, et al. ∙

research

∙ 09/01/2018

Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions

Structured scene descriptions of images are useful for the automatic pro...

0 Stephan Baier, et al. ∙

research

∙ 08/27/2018

Improving Information Extraction from Images with Learned Semantic Models

Many applications require an understanding of an image that goes beyond ...

0 Stephan Baier, et al. ∙

research

∙ 06/30/2018

Embedding Models for Episodic Memory

In recent years a number of large-scale triple-oriented knowledge graphs...

0 Yunpu Ma, et al. ∙

research

∙ 08/09/2017

The Tensor Memory Hypothesis

We discuss memory models which are based on tensor decompositions using ...

0 Volker Tresp, et al. ∙

Yunpu Ma

Featured Co-authors