John Palowitch
John is a Research Scientist working on graph learning, document understanding, and social media modeling.
Authored Publications
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Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions
Barbara Ikica
Hamidreza Alvari
Mehdi Hafezi Manshadi
(2024)
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
Minji Yoon
Ziniu Hu
Ruslan Salakhutdinov
Advances in Neural Information Processing Systems (2022)
GraphWorld: Fake Graphs Bring Real Insights for GNNs
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)
Debiasing Graph Embeddings with Metadata-Orthogonal Training
2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2020)
Computing the statistical significance of optimized communities in networks
Nature Scientific Reports, 9 (2019)
