Seyed Mehran Kazemi

According to our database, Seyed Mehran Kazemi authored at least 31 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Let Your Graph Do the Talking: Encoding Structured Data for LLMs.

Bryan Perozzi, Bahare Fatemi, Dustin Zelle, Anton Tsitsulin, Seyed Mehran Kazemi, Rami Al-Rfou, Jonathan Halcrow

CoRR, 2024

2023

UGSL: A Unified Framework for Benchmarking Graph Structure Learning.

Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Seyed Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi

CoRR, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He

CoRR, 2023

Dr.ICL: Demonstration-Retrieved In-context Learning.

Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Seyed Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y. Zhao

CoRR, 2023

KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals.

Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs.

Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language.

Seyed Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran

CoRR, 2022

Tackling Provably Hard Representative Selection via Graph Neural Networks.

Seyed Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab S. Mirrokni

CoRR, 2022

2021

Structure learning for relational logistic regression: an ensemble approach.

Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan

Data Min. Knowl. Discov., 2021

SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks.

Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Representation Learning for Dynamic Graphs: A Survey.

Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart

J. Mach. Learn. Res., 2020

Out-of-Sample Representation Learning for Multi-Relational Graphs.

Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi

CoRR, 2020

Out-of-Sample Representation Learning for Knowledge Graphs.

Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Diachronic Embedding for Temporal Knowledge Graph Completion.

Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Time2Vec: Learning a Vector Representation of Time.

Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus A. Brubaker

CoRR, 2019

Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey.

Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart

CoRR, 2019

2018

Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models.

Seyed Mehran Kazemi, David Poole

Frontiers Robotics AI, 2018

Record Linkage to Match Customer Names: A Probabilistic Approach.

Bahare Fatemi, Seyed Mehran Kazemi, David Poole

CoRR, 2018

SimplE Embedding for Link Prediction in Knowledge Graphs.

Seyed Mehran Kazemi, David Poole

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

RelNN: A Deep Neural Model for Relational Learning.

Seyed Mehran Kazemi, David Poole

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Domain Recursion for Lifted Inference with Existential Quantifiers.

Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole

CoRR, 2017

Comparing Aggregators for Relational Probabilistic Models.

Seyed Mehran Kazemi, Bahare Fatemi, Alexandra Kim, Zilun Peng, Moumita Roy Tora, Xing Zeng, Matthew C. Dirks, David Poole

CoRR, 2017

2016

Why is Compiling Lifted Inference into a Low-Level Language so Effective?

Seyed Mehran Kazemi, David Poole

CoRR, 2016

A Learning Algorithm for Relational Logistic Regression: Preliminary Results.

Bahare Fatemi, Seyed Mehran Kazemi, David Poole

CoRR, 2016

New Liftable Classes for First-Order Probabilistic Inference.

Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Knowledge Compilation for Lifted Probabilistic Inference: Compiling to a Low-Level Language.

Seyed Mehran Kazemi, David Poole

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Lazy Arithmetic Circuits.

Seyed Mehran Kazemi, David Poole

Proceedings of the Beyond NP, 2016

2014

Population Size Extrapolation in Relational Probabilistic Modelling.

David Poole, David Buchman, Seyed Mehran Kazemi, Kristian Kersting, Sriraam Natarajan

Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Relational Logistic Regression.

Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Elimination Ordering in Lifted First-Order Probabilistic Inference.

Seyed Mehran Kazemi, David Poole

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Relational Logistic Regression: The Directed Analog of Markov Logic Networks.

Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole

Proceedings of the Statistical Relational Artificial Intelligence, 2014