
Temporal Knowledge Graph Forecasting with Neural ODE
Learning node representation on dynamicallyevolving, multirelational g...
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Contrastive Learning for Recommender System
Recommender systems, which analyze users' preference patterns to suggest...
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KMBART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
We present Knowledge Enhanced Multimodal BART (KMBART), which is a Tran...
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xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
Interest has been rising lately towards modeling timeevolving knowledge...
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DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
There has recently been increasing interest in learning representations ...
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Controllable MultiCharacter PsychologyOriented Story Generation
Story generation, which aims to generate a long and coherent story autom...
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Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Randomized controlled trials typically analyze the effectiveness of trea...
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Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
The Hawkes process has become a standard method for modeling selfexciti...
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The Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
The Hawkes process has become a standard method for modeling selfexciti...
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Causal Inference under Networked Interference
Estimating individual treatment effects from data of randomized experime...
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The Tensor Brain: Semantic Decoding for Perception and Memory
We analyse perception and memory using mathematical models for knowledge...
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Debate Dynamics for Humancomprehensible Factchecking on Knowledge Graphs
We propose a novel method for factchecking on knowledge graphs based on...
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Quantum Machine Learning Algorithm for Knowledge Graphs
Semantic knowledge graphs are largescale tripleoriented databases for ...
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Reasoning on Knowledge Graphs with Debate Dynamics
We propose a novel method for automatic reasoning on knowledge graphs ba...
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Variational Quantum Circuit Model for Knowledge Graphs Embedding
In this work, we propose the first quantum Ansätze for the statistical r...
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Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions
Structured scene descriptions of images are useful for the automatic pro...
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Improving Information Extraction from Images with Learned Semantic Models
Many applications require an understanding of an image that goes beyond ...
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Embedding Models for Episodic Memory
In recent years a number of largescale tripleoriented knowledge graphs...
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The Tensor Memory Hypothesis
We discuss memory models which are based on tensor decompositions using ...
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Yunpu Ma
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