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To address the aforementioned challenges, we propose a dual confrontation learning model based on the variational information bottleneck method. This model ...
Dec 28, 2023 · To tackle this problem, we present an approach that mines latent information about head entities and their relations in KGs. Our solution ...
A dual confrontation learning model based on the variational information bottleneck method that successfully extracts valuable knowledge from pre-trained ...
learning model based on the variational information bottleneck method. This model restricts information flow and feature selection from the perspective of ...
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However, graphs in the real-world are inevitably noisy or incomplete, which could even exacerbate the quality of graph representations. In this work, we propose ...
Graph Structure Learning with Variational Information Bottleneck
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Jun 28, 2022 · VIB-GSL is the first attempt to advance the Information Bottleneck (IB) principle for graph structure learning, providing a more elegant and ...
Missing: Dual Confrontation Method.
This work presents InferWiki, a Knowledge Graph Completion (KGC) dataset that improves upon existing benchmarks in inferential ability, assumptions, ...
To remedy this, this paper proposes information bottleneck based knowledge selection (IBKS), which is able to select useful knowledge from the retrieved ...
Missing: Dual Confrontation
Jun 17, 2022 · Knowledge graph (KG) reasoning improves the perception ability of graph structure features, improving model accuracy and enhancing model ...
Knowledge Graph Completing with Dual Confrontation Learning Model Based on Variational Information Bottleneck Method. Guo, Shanqing. DeepDiffer: Find Deep ...