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One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
One-shot neural architecture search (NAS) has recently become mainstream in the NAS community because it significantly improves …
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Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Suicide is a critical issue in modern society. Early detection and prevention of suicide attempts should be addressed to save …
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Hyperspectral Image Classification with Context-aware Dynamic Graph Convolutional Networks
In hyperspectral image (HSI) classification, spatial context has demonstrated its significance in achieving promising performance. …
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A comprehensive survey on graph neural networks
Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to …
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Clustering Social Audiences in Business Information Networks
TBusiness information networks involve diverse users and rich content and have emerged as important platforms for enabling business …
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Familial Clustering For Weakly-labeled Android Malware Using Hybrid Representation Learning
Labeling malware or malware clustering is important for identifying new security threats, triaging and building reference datasets. The …
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Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion
Knowledge graph (KG) embedding approaches are widely used to infer underlying missing facts based on intrinsic structure information. …
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Learning Graph Embedding With Adversarial Training Methods
Graph embedding aims to transfer a graph into vectors to facilitate subsequent graph-analytics tasks like link prediction and graph …
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Exploiting Implicit Influence from Information Propagation for Social Recommendation
Social recommender systems have attracted a lot of attention from academia and industry. On social media, users’ ratings and reviews …
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Influence Spread in Geo-Social Networks: A Multi-Objective Optimization Perspective
As an emerging social dynamic system, geo-social network can be used to facilitate viral marketing through the wide spread of targeted …
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