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International Joint Conference on Artificial Intelligence 2019 — accepted papers

International Joint Conference on Artificial Intelligence 2019 is the 2019 edition of the International Joint Conference on Artificial Intelligence. OpenAlex lists 996 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Graph WaveNet for Deep Spatial-Temporal Graph Modeling ↗Zonghan Wu, Shirui Pan, Guodong Long et al.2,948 citations
  2. Graph Contextualized Self-Attention Network for Session-based Recommendation ↗Chengfeng Xu, Pengpeng Zhao, Yanchi Liu et al.615 citations
  3. Attributed Graph Clustering: A Deep Attentional Embedding Approach ↗Chun Wang, Shirui Pan, Ruiqi Hu et al.573 citations
  4. Adversarial Examples for Graph Data: Deep Insights into Attack and Defense ↗Huijun Wu, Chen Wang, Yuriy Tyshetskiy et al.391 citations
  5. Sequential Recommender Systems: Challenges, Progress and Prospects ↗Shoujin Wang, Liang Hu, Yan Wang et al.373 citations
  6. Dynamic Hypergraph Neural Networks ↗Jianwen Jiang, Yuxuan Wei, Yifan Feng et al.369 citations
  7. Feature-level Deeper Self-Attention Network for Sequential Recommendation ↗Tingting Zhang, Pengpeng Zhao, Yanchi Liu et al.305 citations
  8. Adversarial Attacks on Neural Networks for Graph Data ↗Daniel Zügner, Amir Akbarnejad, Stephan Günnemann301 citations

All accepted papers (996)

The most cited first; 1 with our summary link to their page here, the others to the original.

  1. Graph WaveNet for Deep Spatial-Temporal Graph Modeling ↗Zonghan Wu, Shirui Pan, Guodong Long et al.2,948 citations
  2. Graph Contextualized Self-Attention Network for Session-based Recommendation ↗Chengfeng Xu, Pengpeng Zhao, Yanchi Liu et al.615 citations
  3. Attributed Graph Clustering: A Deep Attentional Embedding Approach ↗Chun Wang, Shirui Pan, Ruiqi Hu et al.573 citations
  4. Adversarial Examples for Graph Data: Deep Insights into Attack and Defense ↗Huijun Wu, Chen Wang, Yuriy Tyshetskiy et al.391 citations
  5. Sequential Recommender Systems: Challenges, Progress and Prospects ↗Shoujin Wang, Liang Hu, Yan Wang et al.373 citations
  6. Dynamic Hypergraph Neural Networks ↗Jianwen Jiang, Yuxuan Wei, Yifan Feng et al.369 citations
  7. Feature-level Deeper Self-Attention Network for Sequential Recommendation ↗Tingting Zhang, Pengpeng Zhao, Yanchi Liu et al.305 citations
  8. Adversarial Attacks on Neural Networks for Graph Data ↗Daniel Zügner, Amir Akbarnejad, Stephan Günnemann301 citations
  9. Attributed Graph Clustering via Adaptive Graph Convolution ↗Xiaotong Zhang, Han Liu, Qimai Li et al.300 citations
  10. BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series ↗Bin Zhou, Shenghua Liu, Bryan Hooi et al.298 citations
  11. Deep Session Interest Network for Click-Through Rate Prediction ↗Yufei Feng, Fuyu Lv, Weichen Shen et al.295 citations
  12. Pre-training of Graph Augmented Transformers for Medication Recommendation ↗Junyuan Shang, Tengfei Ma, Cao Xiao et al.294 citations
  13. Neural News Recommendation with Attentive Multi-View Learning ↗Chuhan Wu, Fangzhao Wu, Mingxiao An et al.272 citations
  14. Outlier Detection for Time Series with Recurrent Autoencoder Ensembles ↗Tung Kieu, Bin Yang, Chenjuan Guo et al.272 citations
  15. CNN-Based Chinese NER with Lexicon Rethinking ↗Tao Gui, Ruotian Ma, Qi Zhang et al.265 citations
  16. Multi-view Knowledge Graph Embedding for Entity Alignment ↗Qinghe Zhang, Zequn Sun, Wei Ping Hu et al.260 citations

See all 996 papers in International Joint Conference on Artificial Intelligence 2019 — accepted papers →

 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

 Fields

Arts and Humanities (1)Computer Science (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

works and citations from OpenAlex and our library.

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