Jonathan Halcrow

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Temporal Reasoning

Graph Structure

Structured Data

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)
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)
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
Talk like a Graph: Encoding Graphs for Large Language Models. CoRR (2023)
Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi
HUGE: Huge Unsupervised Graph Embeddings with TPUs. KDD (2023)
Bahare Fatemi, Jonathan Halcrow, Khuloud Jaqaman
Geometric deep learning of particle motion by MAGIK. Nat. Mac. Intell. 5 (5) (2023)
Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi
HUGE: Huge Unsupervised Graph Embeddings with TPUs. CoRR (2023)
CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong
Stars: Tera-Scale Graph Building for Clustering and Graph Learning. CoRR (2022)
CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong
Stars: Tera-Scale Graph Building for Clustering and Learning. NeurIPS (2022)
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 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 (2022)
Jonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi
Grale: Designing Networks for Graph Learning. CoRR (2020)
Jonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi
Grale: Designing Networks for Graph Learning. KDD (2020)