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Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs

Jun 14, 2021
Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

* preprint with appendix; 30 pages, 1 figure 

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Relational world knowledge representation in contextual language models: A review

Apr 12, 2021
Tara Safavi, Danai Koutra

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Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding

Feb 26, 2021
Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra

* SDM 2021 

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Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks

Feb 24, 2021
Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra

* 8 pages main paper + 7 pages appendix 

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A Hidden Challenge of Link Prediction: Which Pairs to Check?

Feb 15, 2021
Caleb Belth, Alican Büyükçakır, Danai Koutra

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Generating Negative Commonsense Knowledge

Nov 15, 2020
Tara Safavi, Danai Koutra

* Preprint, ongoing work 

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CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Oct 06, 2020
Tara Safavi, Danai Koutra

* EMNLP 2020 

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Graph Neural Networks with Heterophily

Sep 28, 2020
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

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From Static to Dynamic Node Embeddings

Sep 21, 2020
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra

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G-CREWE: Graph CompREssion With Embedding for Network Alignment

Jul 30, 2020
Kyle K. Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra

* 10 pages, accepted at the 29th ACM International Conference onInformation and Knowledge Management (CIKM 20) 

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Mining Persistent Activity in Continually Evolving Networks

Jun 27, 2020
Caleb Belth, Xinyi Zheng, Danai Koutra

* 9 pages, plus 2 pages of supplementary material. Accepted at KDD 2020 

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Neural Execution Engines: Learning to Execute Subroutines

Jun 23, 2020
Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi

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Generalizing Graph Neural Networks Beyond Homophily

Jun 20, 2020
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra

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Consistent Network Alignment with Node Embedding

May 10, 2020
Xiyuan Chen, Mark Heimann, Fatemeh Vahedian, Danai Koutra

* 4 pages, 4 figures 

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Improving the Utility of Knowledge Graph Embeddings with Calibration

Apr 02, 2020
Tara Safavi, Danai Koutra, Edgar Meij

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What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization

Mar 23, 2020
Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra

* 10 pages, plus 2 pages of references. 5 figures. Accepted at The Web Conference 2020 

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From Community to Role-based Graph Embeddings

Aug 22, 2019
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee

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RECS: Robust Graph Embedding Using Connection Subgraphs

Sep 05, 2018
Saba A. Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam

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t-PINE: Tensor-based Predictable and Interpretable Node Embeddings

May 03, 2018
Saba A. Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam

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Linearized and Single-Pass Belief Propagation

Oct 16, 2014
Wolfgang Gatterbauer, Stephan Günnemann, Danai Koutra, Christos Faloutsos

* 17 pages, 11 figures, 4 algorithms. Includes following major changes since v1: renaming of "turbo BP" to "single-pass BP", convergence criteria now give sufficient *and* necessary conditions, more detailed experiments, more detailed comparison with prior BP convergence results, overall improved exposition 

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