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09/14/2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Label scarcity in a graph is frequently encountered in real-world applic...
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08/31/2023
Domain-adaptive Message Passing Graph Neural Network
Cross-network node classification (CNNC), which aims to classify nodes i...
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08/01/2023
On the Performance Tradeoff of an ISAC System with Finite Blocklength
Integrated sensing and communication (ISAC) has been proposed as a promi...
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12/10/2020
Comparison of Update and Genetic Training Algorithms in a Memristor Crossbar Perceptron
Memristor-based computer architectures are becoming more attractive as a...
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11/04/2020
Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation
Open set domain adaptation refers to the scenario that the target domain...
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10/09/2020
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Domain adaptation refers to the learning scenario that a model learned f...
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02/18/2020
Adversarial Deep Network Embedding for Cross-network Node Classification
In this paper, the task of cross-network node classification, which leve...
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09/04/2019
Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
This paper studies the problem of cross-network node classification to o...
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08/30/2019
Adversarial Training Methods for Network Embedding
Network Embedding is the task of learning continuous node representation...
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01/07/2019