Mark Heimann und Danai Koutra - Info zur Person

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Social Networks & Graphs 2 - ECML PKDD 2019

ecmlpkdd2019.org

Di Jin (University of Michigan), Mark Heimann (University of Michigan), Ryan A. Rossi (Adobe Research), Danai Koutra (University of Michigan) Identity stitching, the task of identifying and matching various online references (e.g., sessions over different devices and timespans) to the same user in real-world web services, is crucial for ...

GemsLab/node2bits: Compact time- and attribute-aware ...GitHub

github.com

Paper: Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra. node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching. ACM SIGKDD ...

Mark Heimann | Papers With Codepaperswithcode.com › author › mark-heimann

paperswithcode.com

1 code implementation • 26 Feb • Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra. While most network embedding techniques model the relative positions ...

Contrastive Knowledge-Augmented Meta-Learning for Few ...arXiv

arxiv.org

von R Subramanyam · — Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. Authors:Rakshith Subramanyam, Mark Heimann, Jayram Thathachar, Rushil ... von P Trivedi · · Zitiert von: 4 — Analyzing Data-Centric Properties for Graph Contrastive Learning. Authors:Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, ...

Analyzing Data-Centric Properties for Graph Contrastive ...Neural Information Processing Systems

proceedings.neurips.cc

von P Trivedi · · Zitiert von: 2 — Authors. Puja Trivedi, Ekdeep S Lubana, Mark Heimann, Danai Koutra, Jayaraman Thiagarajan. Abstract. Recent analyses of self-supervised learning (SSL) find ...

[ ] Node Proximity Is All You Need: Unified Structural and...

arxiv.org

· Authors:Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra · Download PDF. Abstract: While most network embedding techniques model the relative ...

Beyond Homophily in Graph Neural Networks - NeurIPS Proceedingsproceedings.neurips.cc › paper › hash

proceedings.neurips.cc

Authors. Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra. Abstract. We investigate the representation power of graph neural ...

yujun_yan - Publications

sites.google.com

Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra. Conference on Neural Information Processing Systems (20.1%). Paper Code.

Beyond Homophily in Graph Neural NetworksNeural Information Processing Systems

nips.cc

Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra. Poster Session 2 (more posters) on Tue, Dec 8th, @ 09:00 – 11:00 PST.

Beyond Homophily in Graph Neural Networks - SlidesLiveslideslive.com › beyond-homophily-in-graph-neural...

slideslive.com

Danai Koutra, · Jiong Zhu, · Yujun Yan, · Lingxiao Zhao, · Mark Heimann, · Leman Akoglu, · Ryan Rossi, · Anup Rao, ...

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