Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Philip S. Yu

Philip S. Yu

Benchmarking Node Outlier Detection on Graphs



Kay Liu , Yingtong Dou , Yue Zhao , Xueying Ding , Xiyang Hu , Ruitong Zhang , Kaize Ding , Canyu Chen , Hao Peng , Kai Shu , Lichao Sun , Jundong Li , George H. Chen , Zhihao Jia , Philip S. Yu

Figure 1 for Benchmarking Node Outlier Detection on Graphs
Figure 2 for Benchmarking Node Outlier Detection on Graphs
Figure 3 for Benchmarking Node Outlier Detection on Graphs
Figure 4 for Benchmarking Node Outlier Detection on Graphs
* Preprint. Under review. Benchmark available at https://github.com/pygod-team/pygod/tree/main/benchmark 
   Access Paper or Ask Questions

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus



Yue Wang , Yao Wan , Lu Bai , Lixin Cui , Zhuo Xu , Ming Li , Philip S. Yu , Edwin R Hancock

Figure 1 for Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
Figure 2 for Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
Figure 3 for Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
Figure 4 for Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
* Under review by IEEE Transactions on Knowledge and Data Engineering (TKDE) 
   Access Paper or Ask Questions

Towards Target Sequential Rules



Wensheng Gan , Gengsen Huang , Jian Weng , Tianlong Gu , Philip S. Yu

Figure 1 for Towards Target Sequential Rules
Figure 2 for Towards Target Sequential Rules
Figure 3 for Towards Target Sequential Rules
Figure 4 for Towards Target Sequential Rules
* Preprint. 6 figures, 3 tables 
   Access Paper or Ask Questions

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination



Yizhen Zheng , Shirui Pan , Vincent Cs Lee , Yu Zheng , Philip S. Yu

Figure 1 for Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Figure 2 for Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Figure 3 for Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Figure 4 for Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

   Access Paper or Ask Questions

A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference



Shu'ang Li , Xuming Hu , Li Lin , Aiwei Liu , Lijie Wen , Philip S. Yu

Figure 1 for A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Figure 2 for A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Figure 3 for A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Figure 4 for A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference

   Access Paper or Ask Questions

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory



Jiaqian Ren , Lei Jiang , Hao Peng , Zhiwei Liu , Jia Wu , Philip S. Yu

Figure 1 for Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
Figure 2 for Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
Figure 3 for Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
* Accepted by ICWS2022 
   Access Paper or Ask Questions

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction



Shuliang Liu , Xuming Hu , Chenwei Zhang , Shu`ang Li , Lijie Wen , Philip S. Yu

Figure 1 for HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Figure 2 for HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Figure 3 for HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Figure 4 for HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
* Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics 
 * In NAACL 2022 as a long paper. Code and data available at https://github.com/THU-BPM/HiURE 
   Access Paper or Ask Questions

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction



Yuwei Cao , William Groves , Tanay Kumar Saha , Joel R. Tetreault , Alex Jaimes , Hao Peng , Philip S. Yu

Figure 1 for XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
Figure 2 for XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
Figure 3 for XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
Figure 4 for XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
* This paper is accepted by the Findings of NAACL 2022 
   Access Paper or Ask Questions

PyGOD: A Python Library for Graph Outlier Detection



Kay Liu , Yingtong Dou , Yue Zhao , Xueying Ding , Xiyang Hu , Ruitong Zhang , Kaize Ding , Canyu Chen , Hao Peng , Kai Shu , George H. Chen , Zhihao Jia , Philip S. Yu

Figure 1 for PyGOD: A Python Library for Graph Outlier Detection
Figure 2 for PyGOD: A Python Library for Graph Outlier Detection

   Access Paper or Ask Questions

Multifaceted Improvements for Conversational Open-Domain Question Answering



Tingting Liang , Yixuan Jiang , Congying Xia , Ziqiang Zhao , Yuyu Yin , Philip S. Yu

Figure 1 for Multifaceted Improvements for Conversational Open-Domain Question Answering
Figure 2 for Multifaceted Improvements for Conversational Open-Domain Question Answering
Figure 3 for Multifaceted Improvements for Conversational Open-Domain Question Answering
Figure 4 for Multifaceted Improvements for Conversational Open-Domain Question Answering

   Access Paper or Ask Questions
1
2
3
4
5
6
7
>>