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Deep Coevolutionary Network: Embedding User and Item Features for
  Recommendation

Deep Coevolutionary Network: Embedding User and Item Features for Recommendation

13 September 2016
H. Dai
Yichen Wang
Rakshit S. Trivedi
Le Song
    GNN
ArXivPDFHTML

Papers citing "Deep Coevolutionary Network: Embedding User and Item Features for Recommendation"

13 / 13 papers shown
Title
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Joao Bravo
Jacopo Bono
Pedro Saleiro
Hugo Ferreira
P. Bizarro
45
0
0
31 Dec 2024
CPMR: Context-Aware Incremental Sequential Recommendation with
  Pseudo-Multi-Task Learning
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning
Qingtian Bian
Jiaxing Xu
Hui Fang
Yiping Ke
24
7
0
09 Sep 2023
From random-walks to graph-sprints: a low-latency node embedding
  framework on continuous-time dynamic graphs
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
Ahmad Naser Eddin
Jacopo Bono
David Oliveira Aparício
Hugo Ferreira
João Tiago Ascensão
Pedro Ribeiro
P. Bizarro
37
2
0
17 Jul 2023
Dynamic Healthcare Embeddings for Improving Patient Care
Dynamic Healthcare Embeddings for Improving Patient Care
Hankyu Jang
Sulyun Lee
D. M. H. Hasan
P. Polgreen
Sriram V. Pemmaraju
Interdisciplinary Graduate Program in Informatics
AI4TS
20
2
0
21 Mar 2023
TIGER: Temporal Interaction Graph Embedding with Restarts
TIGER: Temporal Interaction Graph Embedding with Restarts
Yao Zhang
Yun Xiong
Yongxiang Liao
Yiheng Sun
Yucheng Jin
Xuehao Zheng
Yangyong Zhu
22
24
0
13 Feb 2023
Parameter-free Dynamic Graph Embedding for Link Prediction
Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu
Dongsheng Li
Hansu Gu
Tun Lu
Peng Zhang
Ning Gu
26
13
0
15 Oct 2022
Efficient Dynamic Graph Representation Learning at Scale
Efficient Dynamic Graph Representation Learning at Scale
Xinshi Chen
Yan Zhu
Haowen Xu
Mengya Liu
Liang Xiong
Muhan Zhang
Le Song
24
7
0
14 Dec 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
Yunfei Chu
Xiaofu Chang
Kunyang Jia
Jingzhen Zhou
Hongxia Yang
23
4
0
26 Sep 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
Lu Wang
Xiaofu Chang
Shuang Li
Yunfei Chu
Hui Li
Wei Zhang
Xiaofeng He
Le Song
Jingren Zhou
Hongxia Yang
24
52
0
17 May 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative Filtering
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
105
70
0
08 Jan 2021
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
32
472
0
16 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNN
AI4TS
35
1,721
0
08 May 2017
Variational Policy for Guiding Point Processes
Variational Policy for Guiding Point Processes
Yichen Wang
Grady Williams
Evangelos Theodorou
Le Song
29
23
0
30 Jan 2017
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