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2020 – today
- 2024
[c5]Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi:
Talk like a Graph: Encoding Graphs for Large Language Models. ICLR 2024- [c4]Anton Tsitsulin
, Bryan Perozzi, Bahare Fatemi, Jonathan J. Halcrow:
Graph Reasoning with LLMs (GReaL). KDD 2024: 6424-6425 - [i9]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 abs/2402.05862 (2024) - [i8]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 abs/2405.18512 (2024) - [i7]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 abs/2406.09170 (2024) - 2023
- [j1]Bahare Fatemi, Jonathan Halcrow, Khuloud Jaqaman:
Geometric deep learning of particle motion by MAGIK. Nat. Mac. Intell. 5(5): 483-484 (2023) - [c3]Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi:
HUGE: Huge Unsupervised Graph Embeddings with TPUs. KDD 2023: 4638-4648 - [i6]Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi:
HUGE: Huge Unsupervised Graph Embeddings with TPUs. CoRR abs/2307.14490 (2023) - [i5]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 abs/2308.10737 (2023) - [i4]Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi:
Talk like a Graph: Encoding Graphs for Large Language Models. CoRR abs/2310.04560 (2023) - 2022
- [c2]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Learning. NeurIPS 2022 - [i3]Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi:
TF-GNN: Graph Neural Networks in TensorFlow. CoRR abs/2207.03522 (2022) - [i2]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Graph Learning. CoRR abs/2212.02635 (2022) - 2020
- [c1]Jonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi:
Grale: Designing Networks for Graph Learning. KDD 2020: 2523-2532 - [i1]Jonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi:
Grale: Designing Networks for Graph Learning. CoRR abs/2007.12002 (2020)
Coauthor Index
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last updated on 2024-09-10 02:12 CEST by the dblp team
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