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Siddhartha Shankar Das's Projects

acm-gnn icon acm-gnn

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

attack_to_cve icon attack_to_cve

A methodology for mapping MITRE ATT&CK techniques to vulnerability records to describe the impact of a vulnerability.

average-word2vec icon average-word2vec

🔤 calculate average word embeddings (word2vec) from documents for transfer learning

bron icon bron

"Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyber Hunting" by Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly

course icon course

This is our term project for Level 3 Term 2

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dockpanelsuite icon dockpanelsuite

DockPanel Suite - The Visual Studio inspired docking library for .NET WinForms

equivalence icon equivalence

Equivalence Between Structural Representations and Positional Node Embeddings

gatedgeconv icon gatedgeconv

The graph attention operator that supports edge attributes

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

getpy icon getpy

A Vectorized Python Dict/Set

graph-similarity-learning icon graph-similarity-learning

Algorithms for learning network structure from effective resistances and other random-walk-based similarities.

graphhopper icon graphhopper

Fast Java routing engine for roads and more. GraphHopper is OpenSource and uses OpenStreetMap. #routeplanner

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

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