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Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
This paper concerns corpus poisoning attacks in dense information retrieval, where an adversary attempts to compromise the ranking …
Yongkang Li, Panagiotis Eustratiadis,Simon Lupart, Evangelos Kanoulas
Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval
HotFlip is a topical gradient-based word substitution method for attacking language models. Recently, this method has been further …
Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas
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Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks
Friend recommendation is an important real-world application in location-based social networks (LBSN), helping users discover potential …
Yongkang Li, Zipei Fan, Xuan Song
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Hyper-relational knowledge graph neural network for next POI recommendation
With the advancement of mobile technology, Point of Interest (POI) recommendation systems in Location-based Social Networks (LBSN) have …
Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang,Renhe Jiang, Zipei Fan, Xuan Song
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Heterogeneous hypergraph neural network for friend recommendation with human mobility
Friend recommendation from human mobility is a vital real-world application of location-based social networks (LBSN). It is necessary …
Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song
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HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation
Friend recommendation from user trajectory is a vital real-world application of location-based social networks (LBSN) services. …
Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song
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MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction
The passenger flow prediction of the public metro system is a core and critical part of the intelligent transportation system, and is …
Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S Shang
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