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@watcl-lab WatCL Lab

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    19 repositories

    • watcl.github.io

      Public
      SCSS
      •1•0•0•0•Updated Mar 12, 2026Mar 12, 2026

    • accelerated_l1_PageRank_experiments

      Public
      Python
      •
      MIT License
      •0•0•0•0•Updated Feb 23, 2026Feb 23, 2026

    • exact_gnn

      Public
      Code implementation for "Learning to Execute Graph Algorithms Exactly with Graph Neural Networks" paper
      Python
      •0•0•0•0•Updated Jan 30, 2026Jan 30, 2026

    • neural_networks_and_computation

      Public
      Computational abilities and efficiency of neural networks
      3•57•0•0•Updated Jul 19, 2025Jul 19, 2025

    • positional_attention

      Public
      Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"
      Python
      •2•14•0•0•Updated May 26, 2025May 26, 2025

    • binary_algos

      Public
      Source code for the paper "Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks"
      Python
      •
      MIT License
      •1•3•0•1•Updated May 23, 2025May 23, 2025

    • cs886-winter-2025

      Public
      CS886: Graph Neural Networks
      1•14•0•0•Updated Mar 28, 2025Mar 28, 2025

    • permlearn

      Public
      Source code for the paper "Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity"
      Python
      •
      MIT License
      •0•0•0•0•Updated Feb 25, 2025Feb 25, 2025

    • graphalgosimulation

      Public
      Source code for the paper "Simulation of Graph Algorithms with Looped Transformers"
      Python
      •
      MIT License
      •0•5•0•0•Updated Feb 13, 2024Feb 13, 2024

    • optimality-mp-archs-sparse-graphs

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Nov 6, 2023Nov 6, 2023

    • on-classification-thresholds-for-graph-attention-with-edge-features

      Public
      Code for reproducing experiments in https://arxiv.org/pdf/2210.10014.pdf
      Jupyter Notebook
      •0•0•0•0•Updated Oct 19, 2022Oct 19, 2022

    • Effects-of-Graph-Convs-in-Deep-Nets

      Public
      Jupyter Notebook
      •
      MIT License
      •1•1•0•0•Updated Aug 1, 2022Aug 1, 2022

    • graph-learning-meetings

      Public
      Weekly Reading Group Meeting Schedule (Graph Learning)
      0•0•0•0•Updated Jun 21, 2022Jun 21, 2022

    • Graph-Attention-Retrospective

      Public
      Jupyter Notebook
      •1•12•0•0•Updated Mar 1, 2022Mar 1, 2022

    • Graph-Convolution-for-Semi-Supervised-Classification-Improved-Linear-Separability-and-OoD-Gen.

      Public
      Jupyter Notebook
      •
      MIT License
      •0•2•0•0•Updated Aug 26, 2021Aug 26, 2021

    • pNormFlowDiffusion

      Public
      Julia
      •1•1•0•0•Updated Jul 23, 2021Jul 23, 2021

    • Local-Hyper-flow-Diffusion

      Public
      Julia
      •2•0•0•0•Updated Jul 18, 2021Jul 18, 2021

    • TargetedPandemicContainment

      Public
      Jupyter Notebook
      •1•0•0•0•Updated Jul 18, 2021Jul 18, 2021

    • LocalGraphClustering

      Public
      Jupyter Notebook
      •
      MIT License
      •45•1•0•0•Updated Feb 26, 2021Feb 26, 2021
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