Steve Azzolin's starred repositories

OptiPrompt

[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240

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adv-prob-mod-24

Mini site for the "Advanced probabilistic modeling: from generative to neuro-symbolic AI" course for PhD students at the Unvesity of Trento 23/24

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gnn_logic_global_expl

Official repository of GLGExplainer (ICLR2023)

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GraphXAI

GraphXAI: Resource to support the development and evaluation of GNN explainers

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gdl_tutorial_turinginst

Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

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L2XGNN

Repository of the paper "L2XGNN: Learning to Explain Graph Neural Networks", Giuseppe Serra and Mathias Niepert, Machine Learning Journal, 2024.

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latentis

A Python package for analyzing and transforming neural latent spaces.

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reasoning-shortcuts

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

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hypergraphx

HGX is a multi-purpose, open-source Python library for higher-order network analysis

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pytorch_geometric

Graph Neural Network Library for PyTorch

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Explaining-the-Explainers-in-Graph-Neural-Networks

Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"

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awesome-graph-explainability-papers

Papers about explainability of GNNs

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trinet-identity-attribute-recognition

A multi-task learning approach to person re-identification and attribute recognition. Written in PyTorch, trained and evaluated on the Market-1501 dataset.

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non-rigid-object-tracking

A set of algorithms for non-rigid tracking of multiple objects in videos from different domains.

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