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04/09/2023
Timestamps as Prompts for Geography-Aware Location Recommendation
Location recommendation plays a vital role in improving users' travel ex...
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03/22/2023
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling
Predicting the next location is a highly valuable and common need in man...
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09/21/2022
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Graph anomaly detection (GAD) is a vital task since even a few anomalies...
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08/24/2021
Adaptation-Agnostic Meta-Training
Many meta-learning algorithms can be formulated into an interleaved proc...
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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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11/04/2020
Mixed Set Domain Adaptation
In the settings of conventional domain adaptation, categories of the sou...
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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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12/26/2019
Variational Metric Scaling for Metric-Based Meta-Learning
Metric-based meta-learning has attracted a lot of attention due to its e...
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01/07/2019
Deep Network Embedding for Graph Representation Learning in Signed Networks
Network embedding has attracted an increasing attention over the past fe...
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09/05/2015
