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GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks



Kenza Amara , Rex Ying , Zitao Zhang , Zhihao Han , Yinan Shan , Ulrik Brandes , Sebastian Schemm , Ce Zhang

* Submitted to Neurips 2022 Conference 

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Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator



Tailin Wu , Qinchen Wang , Yinan Zhang , Rex Ying , Kaidi Cao , Rok Sosič , Ridwan Jalali , Hassan Hamam , Marko Maucec , Jure Leskovec

* SIGKDD 2022; 11 pages, 6 figures 

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Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020



Zhen Xu , Lanning Wei , Huan Zhao , Rex Ying , Quanming Yao , Wei-Wei Tu , Isabelle Guyon

* arXiv admin note: text overlap with arXiv:2110.05802 

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Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones



Yushi Bai , Rex Ying , Hongyu Ren , Jure Leskovec

* To be published in NeurIPS 2021, full version including appendix 

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Neural Distance Embeddings for Biological Sequences



Gabriele Corso , Rex Ying , Michal Pándy , Petar Veličković , Jure Leskovec , Pietro Liò

* Advances in Neural Information Processing Systems (NeurIPS 2021) 

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Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks



Jiaqing Xie , Rex Ying

* Under review at ECML-PKDD 2021 Graph Embedding and Mining(GEM) workshop; fixed typos in v2; redundant-> non-redundant 

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Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification



Xiaochen Hou , Peng Qi , Guangtao Wang , Rex Ying , Jing Huang , Xiaodong He , Bowen Zhou

* Accepted by NAACL 2021 

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