Continuous-time Autoencoders for Regular and Irregular Time Series Imputation von Wi, Hyowon, Shin, Yehjin, Park, Noseong

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An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention von Shin, Yehjin, Choi, Jeongwhan, Wi, Hyowon, Park, Noseong

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Polynomial-based Self-Attention for Table Representation learning von Kim, Jayoung, Shin, Yehjin, Choi, Jeongwhan, Wi, Hyowon, Park, Noseong

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PANDA: Expanded Width-Aware Message Passing Beyond Rewiring von Choi, Jeongwhan, Park, Sumin, Wi, Hyowon, Cho, Sung-Bae, Park, Noseong

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Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering von Lee, Chaejeong, Choi, Jeongwhan, Wi, Hyowon, Cho, Sung-Bae, Park, Noseong

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RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation von Choi, Jeongwhan, Wi, Hyowon, Lee, Chaejeong, Cho, Sung-Bae, Lee, Dongha, Park, Noseong

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Graph Convolutions Enrich the Self-Attention in Transformers von Choi, Jeongwhan, Wi, Hyowon, Kim, Jayoung, Shin, Yehjin, Lee, Kookjin, Trask, Nathaniel, Park, Noseong

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Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations von Lim, Seonkyu, Park, Jaehyeon, Kim, Seojin, Wi, Hyowon, Lim, Haksoo, Jeon, Jinsung, Choi, Jeongwhan, Park, Noseong

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Continuous-time Autoencoders for Regular and Irregular Time Series Imputation von Wi, Hyowon, Shin, Yehjin, Park, Noseong

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TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering von Hong, Seoyoung, Jo, Minju, Kook, Seungji, Jung, Jaeeun, Wi, Hyowon, Park, Noseong, Cho, Sung-Bae

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An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention von Shin, Yehjin, Choi, Jeongwhan, Wi, Hyowon, Park, Noseong

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Polynomial-based Self-Attention for Table Representation learning von Kim, Jayoung, Shin, Yehjin, Choi, Jeongwhan, Wi, Hyowon, Park, Noseong

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Graph Convolutions Enrich the Self-Attention in Transformers von Choi, Jeongwhan, Wi, Hyowon, Kim, Jayoung, Shin, Yehjin, Lee, Kookjin, Trask, Nathaniel, Park, Noseong

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RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation von Choi, Jeongwhan, Wi, Hyowon, Lee, Chaejeong, Sung-Bae, Cho, Lee, Dongha, Park, Noseong

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PANDA: Expanded Width-Aware Message Passing Beyond Rewiring von Choi, Jeongwhan, Park, Sumin, Wi, Hyowon, Sung-Bae, Cho, Park, Noseong

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Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering von Lee, Chaejeong, Choi, Jeongwhan, Wi, Hyowon, Sung-Bae, Cho, Park, Noseong

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Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations von Lim, Seonkyu, Park, Jaehyeon, Kim, Seojin, Wi, Hyowon, Lim, Haksoo, Jeon, Jinsung, Choi, Jeongwhan, Park, Noseong

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TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering von Hong, Seoyoung, Minju Jo, Seungji Kook, Jung, Jaeeun, Wi, Hyowon, Park, Noseong, Sung-Bae, Cho

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Surface modification of poly(vinyl alcohol) sponge by acrylic acid to immobilize Prussian blue for selective adsorption of aqueous cesium von Wi, Hyobin, Kim, Hyowon, Oh, Daemin, Bae, Sungjun, Hwang, Yuhoon

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Prussian blue immobilized cellulosic filter for the removal of aqueous cesium von Kim, Hyowon, Wi, Hyobin, Kang, Sungwon, Yoon, Sunho, Bae, Sungjun, Hwang, Yuhoon

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