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05/22/2023
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
We propose KGT5-context, a simple sequence-to-sequence model for link pr...
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07/11/2022
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
Knowledge graph embedding (KGE) models are an effective and popular appr...
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06/01/2022
Good Intentions: Adaptive Parameter Servers via Intent Signaling
Parameter servers (PSs) ease the implementation of distributed training ...
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03/19/2022
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Knowledge graph embedding (KGE) models represent each entity and relatio...
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04/01/2021
Replicate or Relocate? Non-Uniform Access in Parameter Servers
Parameter servers (PSs) facilitate the implementation of distributed tra...
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10/14/2020
Differentiable Implicit Layers
In this paper, we introduce an efficient backpropagation scheme for non-...
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02/03/2020
Dynamic Parameter Allocation in Parameter Servers
To keep up with increasing dataset sizes and model complexity, distribut...
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04/28/2019
OPIEC: An Open Information Extraction Corpus
Open information extraction (OIE) systems extract relations and their ar...
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02/03/2019
A Relational Tucker Decomposition for Multi-Relational Link Prediction
We propose the Relational Tucker3 (RT) decomposition for multi-relationa...
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10/17/2018
Do Embedding Models Perform Well for Knowledge Base Completion?
In this work, we put into question the effectiveness of the evaluation m...
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10/17/2018