LT-OCF: Learnable-Time ODE-based Collaborative Filtering

LT-OCF: Learnable-Time ODE-based Collaborative Filtering

8 August 2021

Jeongwhan Choi

Papers citing "LT-OCF: Learnable-Time ODE-based Collaborative Filtering"

19 / 19 papers shown

Title
Why is Normalization Necessary for Linear Recommenders? Seongmin Park Mincheol Yoon Hye-young Kim Jongwuk Lee 35 0 0 08 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Z. Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 143 1 0 29 Mar 2025
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 34 1 0 26 Jul 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Jeongwhan Choi Sumin Park Hyowon Wi Sung-Bae Cho Noseong Park GNN 43 2 0 06 Jun 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering Seoyoung Hong Jeongwhan Choi Yeon-Chang Lee Srijan Kumar Noseong Park 39 5 0 08 May 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation Jeongwhan Choi Duksan Ryu 25 2 0 06 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park 43 30 0 16 Dec 2023
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations Woojin Cho Seunghyeon Cho Hyundong Jin Jinsung Jeon Kookjin Lee Sanghyun Hong Dongeun Lee Jonghyun Choi Noseong Park AI4TS AI4CE 18 2 0 16 Dec 2023
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 21 4 0 21 Nov 2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation Jin-Duk Park Siqing Li Xin Cao Won-Yong Shin 17 7 0 30 May 2023
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation Jaewan Moon Hye-young Kim Jongwuk Lee 37 4 0 22 May 2023
Hawkes Process Based on Controlled Differential Equations Minju Jo Seung-Uk Kook Noseong Park AI4TS 37 1 0 09 May 2023
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 21 26 0 25 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 19 6 0 08 Nov 2022
Prediction-based One-shot Dynamic Parking Pricing Seoyoung Hong H. Shin Jeongwhan Choi Noseong Park 27 5 0 30 Aug 2022
Linear, or Non-Linear, That is the Question! Taeyong Kong Taeri Kim Jinsung Jeon Jeongwhan Choi Yeon-Chang Lee Noseong Park Sang-Wook Kim 38 57 0 14 Nov 2021
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising Jinsung Jeon Soyoung Kang Minju Jo Seunghyeon Cho Noseong Park Seonghoon Kim Chiyoung Song 28 16 0 11 Aug 2021