Seyed Mehran Kazemi

42 papers A* 9A 1Journal 26Unranked 6

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