4.5 Article

Graph Neural Collaborative Topic Model for Citation Recommendation

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Neural variational sparse topic model for sparse explainable text representation

Qianqian Xie et al.

Summary: This paper proposes a semantic reinforcement neural variational sparse topic model (SR-NSTM), which models the generative process of texts with probabilistic distributions parameterized by neural networks and achieves interpretable and sparse latent text representation learning.

INFORMATION PROCESSING & MANAGEMENT (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Temporal Meta-path Guided Explainable Recommendation

Hongxu Chen et al.

Summary: Recent advances in path-based explainable recommendation systems have attracted increasing attention due to knowledge graphs. Existing models often ignore dynamic user-item evolutions, leading to less convincing explanations. Our proposed TMER method effectively captures user-item interactions for improved recommendation performance. Extensive evaluations demonstrate state-of-the-art performance compared to strong baselines.

WSDM '21: PROCEEDINGS OF THE 14TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Graph Topic Neural Network for Document Representation

Qianqian Xie et al.

Summary: This paper presents a novel Graph Topic Neural Network (GTNN) model to mine latent topic semantics for interpretable document representation learning by considering relationships between documents and words. Experimental results demonstrate that our model outperforms state-of-the-art models in various settings.

PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021) (2021)

Proceedings Paper Computer Science, Information Systems

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Xiangnan He et al.

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (2020)

Proceedings Paper Computer Science, Information Systems

Multi-behavior Recommendation with Graph Convolutional Networks

Bowen Jin et al.

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (2020)

Proceedings Paper Computer Science, Information Systems

Disentangled Graph Collaborative Filtering

Xiang Wang et al.

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (2020)

Proceedings Paper Computer Science, Information Systems

Graph Attention Topic Modeling Network

Liang Yang et al.

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020) (2020)

Article Computer Science, Artificial Intelligence

Heterogeneous Information Network Embedding for Recommendation

Chuan Shi et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)

Proceedings Paper Computer Science, Information Systems

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

Hongwei Wang et al.

KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)

Proceedings Paper Computer Science, Information Systems

KGAT: Knowledge Graph Attention Network for Recommendation

Xiang Wang et al.

KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)

Proceedings Paper Computer Science, Theory & Methods

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Weizhi Ma et al.

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)

Proceedings Paper Computer Science, Theory & Methods

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

Hongwei Wang et al.

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)

Proceedings Paper Computer Science, Theory & Methods

Graph Neural Networks for Social Recommendation

Wenqi Fan et al.

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Session-Based Social Recommendation via Dynamic Graph Attention Networks

Weiping Song et al.

PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19) (2019)

Proceedings Paper Computer Science, Information Systems

Neural Graph Collaborative Filtering

Xiang Wang et al.

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19) (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Spectral Collaborative Filtering

Lei Zheng et al.

12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS) (2018)

Proceedings Paper Computer Science, Information Systems

Neural Relational Topic Models for Scientific Article Analysis

Haoli Bai et al.

CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Rex Ying et al.

KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)

Proceedings Paper Computer Science, Artificial Intelligence

entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation

Enrico Palumbo et al.

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17) (2017)

Proceedings Paper Computer Science, Information Systems

Neural Collaborative Filtering

Xiangnan He et al.

PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17) (2017)

Article Computer Science, Artificial Intelligence

Discriminative Relational Topic Models

Ning Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

Proceedings Paper Computer Science, Theory & Methods

An Overview of Microsoft Academic Service (MAS) and Applications

Arnab Sinha et al.

WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (2015)

Proceedings Paper Computer Science, Information Systems

Fast Recommendation on Bibliographic Networks

Onur Kuecuektunc et al.

2012 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) (2012)

Article Computer Science, Hardware & Architecture

MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS

Yehuda Koren et al.

COMPUTER (2009)

Article Computer Science, Information Systems

Cumulated gain-based evaluation of IR techniques

K Järvelin et al.

ACM TRANSACTIONS ON INFORMATION SYSTEMS (2002)