John Palowitch

37 papers A* 4A 1B 2Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	BIG-Bench Extra Hard. ACL (1) Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	J	`jnl`	BIG-Bench Extra Hard. CoRR Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Kshitij Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	—	`conf`	Entailed Between the Lines: Incorporating Implication into NLI. ACL (1) Shreya Havaldar, Hamidreza Alvari, John Palowitch, Mohammad Javad Hosseini, Senaka Buthpitiya, Alex Fabrikant
2025	J	`jnl`	Entailed Between the Lines: Incorporating Implication into NLI. CoRR Shreya Havaldar, Hamidreza Alvari, John Palowitch, Mohammad Javad Hosseini, Senaka Buthpitiya, Alex Fabrikant
2025	A	`conf`	SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web. ICWSM John Palowitch, Hamidreza Alvari, Mehran Kazemi, Tanvir Amin, Filip Radlinski
2025	A*	`conf`	Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. ICLR Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
2025	B	`conf`	Transfer Learning for Temporal Link Prediction. IJCNN Ayan Chatterjee, Barbara Ikica, Babak Ravandi, John Palowitch
2025	J	`jnl`	Transfer Learning for Temporal Link Prediction. CoRR Ayan Chatterjee, Barbara Ikica, Babak Ravandi, John Palowitch
2024	—	`conf`	Into the Unknown: Generating Geospatial Descriptions for New Environments. ACL (Findings) Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Reut Tsarfaty, Jason Baldridge
2024	J	`jnl`	Into the Unknown: Generating Geospatial Descriptions for New Environments. CoRR Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Reut Tsarfaty, Jason Baldridge
2024	J	`jnl`	SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web. CoRR John Palowitch, Hamidreza Alvari, Mehran Kazemi, Tanvir Amin, Filip Radlinski
2024	J	`jnl`	Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. CoRR Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
2024	J	`jnl`	Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions. CoRR Krisztian Balog, John Palowitch, Barbara Ikica, Filip Radlinski, Hamidreza Alvari, Mehdi Manshadi
2024	—	`conf`	Where Do We Go From Here? Multi-scale Allocentric Relational Inferencefrom Natural Spatial Descriptions. EACL (1) Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Jason Baldridge, Reut Tsarfaty
2024	J	`jnl`	Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions. CoRR Tzuf Paz-Argaman, Sayali Kulkarni, John Palowitch, Jason Baldridge, Reut Tsarfaty
2023	J	`jnl`	Examining the Effects of Degree Distribution and Homophily in Graph Learning Models. CoRR Mustafa Yasir, John Palowitch, Anton Tsitsulin, Long Tran-Thanh, Bryan Perozzi
2023	J	`jnl`	Finding Groups of Cross-Correlated Features in Bi-View Data. J. Mach. Learn. Res. Miheer Dewaskar, John Palowitch, Mark He, Michael I. Love, Andrew B. Nobel
2023	J	`jnl`	Graph Clustering with Graph Neural Networks. J. Mach. Learn. Res. Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
2023	A*	`conf`	Graph Generative Model for Benchmarking Graph Neural Networks. ICML Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov
2022	A*	`conf`	GraphWorld: Fake Graphs Bring Real Insights for GNNs. KDD John Palowitch, Anton Tsitsulin, Brandon A. Mayer, Bryan Perozzi
2022	J	`jnl`	GraphWorld: Fake Graphs Bring Real Insights for GNNs. CoRR John Palowitch, Anton Tsitsulin, Brandon A. Mayer, Bryan Perozzi
2022	J	`jnl`	Scalable Privacy-enhanced Benchmark Graph Generative Model for Graph Convolutional Networks. CoRR Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Ruslan Salakhutdinov
2022	J	`jnl`	Synthetic Graph Generation to Benchmark Graph Learning. CoRR Anton Tsitsulin, Benedek Rozemberczki, John Palowitch, Bryan Perozzi
2022	J	`jnl`	TF-GNN: Graph Neural Networks in TensorFlow. CoRR Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi
2022	J	`jnl`	Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks. CoRR Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi
2022	A*	`conf`	Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks. NeurIPS Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi
2021	J	`jnl`	Recurrent Graph Neural Networks for Rumor Detection in Online Forums. CoRR Di Huang, Jacob Bartel, John Palowitch
2020	B	`conf`	Debiasing Graph Representations via Metadata-Orthogonal Training. ASONAM John Palowitch, Bryan Perozzi
2020	J	`jnl`	Finding Stable Groups of Cross-Correlated Features in Multi-View data. CoRR Miheer Dewaskar, John Palowitch, Mark He, Michael I. Love, Andrew B. Nobel
2020	J	`jnl`	Graph Clustering with Graph Neural Networks. CoRR Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
2019	J	`jnl`	MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit. CoRR John Palowitch, Bryan Perozzi
2018	J	`jnl`	Computing the statistical significance of optimized communities in networks. CoRR John Palowitch
2017	J	`jnl`	Community Extraction in Multilayer Networks with Heterogeneous Community Structure. J. Mach. Learn. Res. James D. Wilson, John Palowitch, Shankar Bhamidi, Andrew B. Nobel
2017	J	`jnl`	Significance-based community detection in weighted networks. J. Mach. Learn. Res. John Palowitch, Shankar Bhamidi, Andrew B. Nobel
2017	—	`—`	Testing-Based Community Detection Methods for Complex Networks. John Palowitch
2016	J	`jnl`	Community Extraction in Multilayer Networks with Heterogeneous Community Structure. CoRR James D. Wilson, John Palowitch, Shankar Bhamidi, Andrew B. Nobel
2016	J	`jnl`	The Continuous Configuration Model: A Null for Community Detection on Weighted Networks. CoRR John Palowitch, Shankar Bhamidi, Andrew B. Nobel