Paper Review Archive

주로 Recommendation Systems, Representation Learning, Generative Adversarial Networks, Graph Neural Networks와 관련된 논문들입니다.

논문 리뷰 자료들을 아카이브합니다.
최근~과거순으로 정리되어 있습니다.
(각 링크들은 paper: 논문 PDF / slide: 직접 작성한 slide)

ICLR'20 (April 27-30, 2020)

• Strategies for Pre-training Graph Neural Networks(paper, slide)

KDD'19 (August 4-8, 2019)

• Adversarial Variational Embedding for Robust Semi-supervised Learning (paper, slide)
• Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts (paper, slide)
• dEFEND: Explainable Fake News Detection (paper, slide)
• ProGAN: Network Embedding via Proximity Generative Adversarial Network (paper, slide)
• Enhancing Collaborative Filtering with Generative Augmentation (paper, slide)

WWW'19 (May 13-17, 2019)

• Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences (paper, slide)

NIPS'17 (December 4-9, 2017)

• Inductive Representation Learning on Large Graphs(paper, slide)

WWW'17 (April 3-7, 2017)

• Neural Collaborative Filtering(paper)

AAAI'15 (January 25-30, 2015)

• Learning Entity and Relation Embeddings for Knowledge Graph Completion (paper, slide)