Grale: Designing Networks for Graph Learning. - Jonathan Halcrow; Alexandru Mosoi; Sam Ruth; Bryan Perozzi (KDD, 2020)

Stars: Tera-Scale Graph Building for Clustering and Learning. - CJ Carey; Jonathan Halcrow; Rajesh Jayaram; Vahab Mirrokni; Warren Schudy; Peilin Zhong (NeurIPS, 2022)

TF-GNN: Graph Neural Networks in TensorFlow. - 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; et al. (CoRR, 2022)

Stars: Tera-Scale Graph Building for Clustering and Graph Learning. - CJ Carey; Jonathan Halcrow; Rajesh Jayaram; Vahab Mirrokni; Warren Schudy; Peilin Zhong (CoRR, 2022)

HUGE: Huge Unsupervised Graph Embeddings with TPUs. - Brandon A. Mayer; Anton Tsitsulin; Hendrik Fichtenberger; Jonathan Halcrow; Bryan Perozzi (KDD, 2023)

UGSL: A Unified Framework for Benchmarking Graph Structure Learning. - Bahare Fatemi; Sami Abu-El-Haija; Anton Tsitsulin; Seyed Mehran Kazemi; Dustin Zelle; Neslihan Bulut; Jonathan Halcrow; Bryan Perozzi (CoRR, 2023)

Geometric deep learning of particle motion by MAGIK. - Bahare Fatemi; Jonathan Halcrow; Khuloud Jaqaman (Nat. Mac. Intell., 2023)

Talk like a Graph: Encoding Graphs for Large Language Models. - Bahare Fatemi; Jonathan Halcrow; Bryan Perozzi (ICLR, 2024)

Graph Reasoning with LLMs (GReaL). - Anton Tsitsulin; Bryan Perozzi; Bahare Fatemi; Jonathan J. Halcrow (KDD, 2024)

Understanding Transformer Reasoning Capabilities via Graph Algorithms. - Clayton Sanford; Bahare Fatemi; Ethan Hall; Anton Tsitsulin; Mehran Kazemi; Jonathan Halcrow; Bryan Perozzi; Vahab Mirrokni (NeurIPS, 2024)

Let Your Graph Do the Talking: Encoding Structured Data for LLMs. - Bryan Perozzi; Bahare Fatemi; Dustin Zelle; Anton Tsitsulin; Seyed Mehran Kazemi; Rami Al-Rfou; Jonathan Halcrow (CoRR, 2024)

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 (ICLR, 2025)

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality. - Filipe Miguel Gonçalves de Almeida; CJ Carey; Hendrik Fichtenberger; Jonathan Halcrow; Silvio Lattanzi; André Linhares; Tao Meng; Ashkan Norouzi-Fard; Nikos Parotsidis; Bryan Perozzi; David Simcha (CoRR, 2025)