NikolasBielski

NikolasBielski's Stars

• MarkBaggett/MarkBaggett

  Language:Python18770

• Z-928/QML-platform-bugs

  2

• Z-928/Bugs4Q-Framework

  A Benchmark of Existing Bugs to Enable Controlled Testing and Debugging Studies for Quantum Programs

  Language:Python21

• Z-928/QChecker

  Language:Python2

• cisagov/decider

  A web application that assists network defenders, analysts, and researchers in the process of mapping adversary behaviors to the MITRE ATT&CK® framework.

  Language:HTML1.1k114

• ymirsky/VulChecker

  A deep learning model for localizing bugs in C/C++ source code (USENIX'23)

  Language:Python12916

• Wuyxin/DIR-GNN

  Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

  Language:Python11416

• SherylHYX/pytorch_geometric_signed_directed

  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

  Language:Python12016

• jumormt/DeepWukong

  DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network

  Language:Python8423

• tuhh-softsec/vul4j

  Vul4J: A Dataset of Reproducible Java Vulnerabilities

  Language:Python6123

• quarkslab/aosp_dataset

  Large Commit Precise Vulnerability Dataset based on AOSP CVE

  Language:Python576

• dbkgroup/prop_gen

  A novel hybrid method for generating molecules with desired property scores.

  Language:Python3915

• davidhin/linevd

  Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)

  Language:Python6524

• epicosy/devign

  Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

  Language:Python19068

• secureIT-project/CVEfixes

  CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

  Language:Python19248

• saikat107/Devign

  Language:Python7531

• qemu/qemu

  Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

  Language:C10.2k5.5k

• FFmpeg/FFmpeg

  Mirror of https://git.ffmpeg.org/ffmpeg.git

  Language:C45.2k12.1k

• interpretml/DiCE

  Generate Diverse Counterfactual Explanations for any machine learning model.

  Language:Python1.3k186

• kepsail/ie-HGCN

  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021

  Language:Python9710

• flyingdoog/awesome-graph-explainability-papers

  Papers about explainability of GNNs

  63464

• HuantWang/FUNDED_NISL

  FUNDED is a novel learning framework for building vulnerability detection models.

  Language:Python12436

• safe-graph/graph-adversarial-learning-literature

  A curated list of adversarial attacks and defenses papers on graph-structured data.

  818129

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k3k

• opencog/opencog

  A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

  Language:Scheme2.3k724

• ml-research/pau

  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network

  Language:Python638

• flyingdoog/PGExplainer

  Parameterized Explainer for Graph Neural Network

  Language:Jupyter Notebook12315

• RexYing/gnn-model-explainer

  gnn explainer

  Language:Python860173

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k281

• billchen198318/hillfog

  hillfog is an KPI, OKR (Objectives and Key Results), PDCA, BSC (balanced scorecard) web platform.

  Language:Java4520