Seyed Mehran Kazemi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Topics

Markov Logic Networks

Logistic Regression

Backward Chaining

Structure Learning

Top Venues

Publications

Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Seyed Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
Understanding Transformer Reasoning Capabilities via Graph Algorithms. CoRR (2024)
Bryan Perozzi, Bahare Fatemi, Dustin Zelle, Anton Tsitsulin, Seyed Mehran Kazemi, Rami Al-Rfou, Jonathan Halcrow
Let Your Graph Do the Talking: Encoding Structured Data for LLMs. CoRR (2024)
Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Seyed Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi
UGSL: A Unified Framework for Benchmarking Graph Structure Learning. CoRR (2023)
Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. CoRR (2023)
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. SustaiNLP (2023)
Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. EACL (2023)
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. ICLR (2023)
Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Seyed Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y. Zhao
Dr.ICL: Demonstration-Retrieved In-context Learning. CoRR (2023)
Seyed Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language. CoRR (2022)
Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. CoRR (2022)
Seyed Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab S. Mirrokni
Tackling Provably Hard Representative Selection via Graph Neural Networks. CoRR (2022)
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahareh Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
Structure learning for relational logistic regression: an ensemble approach. Data Min. Knowl. Discov. 35 (5) (2021)
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks. NeurIPS (2021)
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks. CoRR (2021)
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart
Diachronic Embedding for Temporal Knowledge Graph Completion. AAAI (2020)
Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi
Out-of-Sample Representation Learning for Multi-Relational Graphs. CoRR (2020)
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
Representation Learning for Dynamic Graphs: A Survey. J. Mach. Learn. Res. 21 (2020)
Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi
Out-of-Sample Representation Learning for Knowledge Graphs. EMNLP (Findings) (2020)
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart
Diachronic Embedding for Temporal Knowledge Graph Completion. CoRR (2019)
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus Brubaker
Time2Vec: Learning a Vector Representation of Time. CoRR (2019)
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. CoRR (2019)
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
Structure Learning for Relational Logistic Regression: An Ensemble Approach. KR (2018)
Seyed Mehran Kazemi, David Poole
SimplE Embedding for Link Prediction in Knowledge Graphs. CoRR (2018)
Seyed Mehran Kazemi, David Poole
RelNN: A Deep Neural Model for Relational Learning. AAAI (2018)
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
Structure Learning for Relational Logistic Regression: An Ensemble Approach. CoRR (2018)
Seyed Mehran Kazemi, David Poole
SimplE Embedding for Link Prediction in Knowledge Graphs. NeurIPS (2018)
Seyed Mehran Kazemi, David Poole
Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models. Frontiers Robotics AI 5 (2018)
Bahare Fatemi, Seyed Mehran Kazemi, David Poole
Record Linkage to Match Customer Names: A Probabilistic Approach. CoRR (2018)
Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
Domain Recursion for Lifted Inference with Existential Quantifiers. CoRR (2017)
Seyed Mehran Kazemi, David Poole
RelNN: A Deep Neural Model for Relational Learning. CoRR (2017)
Seyed Mehran Kazemi, Bahare Fatemi, Alexandra Kim, Zilun Peng, Moumita Roy Tora, Xing Zeng, Matthew C. Dirks, David Poole
Comparing Aggregators for Relational Probabilistic Models. CoRR (2017)
Bahare Fatemi, Seyed Mehran Kazemi, David Poole
A Learning Algorithm for Relational Logistic Regression: Preliminary Results. CoRR (2016)
Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
New Liftable Classes for First-Order Probabilistic Inference. NIPS (2016)
Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
New Liftable Classes for First-Order Probabilistic Inference. CoRR (2016)
Seyed Mehran Kazemi, David Poole
Lazy Arithmetic Circuits. AAAI Workshop: Beyond NP (2016)
Seyed Mehran Kazemi, David Poole
Knowledge Compilation for Lifted Probabilistic Inference: Compiling to a Low-Level Language. KR (2016)
Seyed Mehran Kazemi, David Poole
Why is Compiling Lifted Inference into a Low-Level Language so Effective? CoRR (2016)
Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole
Relational Logistic Regression. KR (2014)
Seyed Mehran Kazemi, David Poole
Elimination Ordering in Lifted First-Order Probabilistic Inference. AAAI (2014)
David Poole, David Buchman, Seyed Mehran Kazemi, Kristian Kersting, Sriraam Natarajan
Population Size Extrapolation in Relational Probabilistic Modelling. SUM (2014)
Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole
Relational Logistic Regression: The Directed Analog of Markov Logic Networks. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)