Fatemi, Bahare

14 publications

ICLR 2025 Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
NeurIPSW 2024 CausalGraph2LLM: Evaluating LLMs for Causal Queries Ivaxi Sheth, Bahare Fatemi, Mario Fritz
NeurIPS 2024 ReMI: A Dataset for Reasoning with Multiple Images Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
ICLR 2024 Talk like a Graph: Encoding Graphs for Large Language Models Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
NeurIPS 2024 Text-Space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
NeurIPS 2024 Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
JMLR 2023 Knowledge Hypergraph Embedding Meets Relational Algebra Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole
UAI 2023 SubMix: Learning to Mix Graph Sampling Heuristics Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, Mohammadhossein Bateni
NeurIPSW 2023 Talk like a Graph: Encoding Graphs for Large Language Models Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
NeurIPS 2023 TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
ICMLW 2023 UGSL: A Unified Framework for Benchmarking Graph Structure Learning Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi
NeurIPS 2021 SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
IJCAI 2020 Knowledge Hypergraphs: Prediction Beyond Binary Relations Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
AAAI 2019 Improved Knowledge Graph Embedding Using Background Taxonomic Information Bahare Fatemi, Siamak Ravanbakhsh, David Poole