Bahare Fatemi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Markov Logic Networks

Logistic Regression

Graph Embedding

Multiview Stereo

Top Venues

Nat. Mac. Intell.

Publications

Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
Talk like a Graph: Encoding Graphs for Large Language Models. ICLR (2024)
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)
Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. 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)
Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
ReMI: A Dataset for Reasoning with Multiple Images. CoRR (2024)
Anton Tsitsulin, Bryan Perozzi, Bahare Fatemi, Jonathan J. Halcrow
Graph Reasoning with LLMs (GReaL). KDD (2024)
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR (2024)
Jialin Dong, Bahare Fatemi, Bryan Perozzi, Lin F. Yang, Anton Tsitsulin
Don't Forget to Connect! Improving RAG with Graph-based Reranking. 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)
Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu
19th International Workshop on Mining and Learning with Graphs (MLG). KDD (2023)
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
Talk like a Graph: Encoding Graphs for Large Language Models. CoRR (2023)
Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni
SubMix: Learning to Mix Graph Sampling Heuristics. UAI (2023)
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
Knowledge Hypergraph Embedding Meets Relational Algebra. J. Mach. Learn. Res. 24 (2023)
Mangpo Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. NeurIPS (2023)
Bahare Fatemi, Jonathan Halcrow, Khuloud Jaqaman
Geometric deep learning of particle motion by MAGIK. Nat. Mac. Intell. 5 (5) (2023)
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. CoRR (2023)
Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano
Learning to Substitute Ingredients in Recipes. CoRR (2023)
Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vasquez, Christopher Pal
Using Graph Algorithms to Pretrain Graph Completion Transformers. CoRR (2022)
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks. NeurIPS (2021)
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
Knowledge Hypergraph Embedding Meets Relational Algebra. CoRR (2021)
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks. CoRR (2021)
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
Knowledge Hypergraphs: Prediction Beyond Binary Relations. IJCAI (2020)
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations. CoRR (2019)
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
Improved Knowledge Graph Embedding Using Background Taxonomic Information. AAAI (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)
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
Improved Knowledge Graph Embedding using Background Taxonomic Information. CoRR (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)
Bahare Fatemi, Seyed Mehran Kazemi, David Poole
Record Linkage to Match Customer Names: A Probabilistic Approach. CoRR (2018)
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)