siddhartha047
I am a Ph.D. Student of Computer Science, I like to work on theoretical and applied machine-learning problems
Purdue UniversityWest Lafayette, Indiana, USA
Pinned Repositories
AGS-GNN
Attribute-guided Sampling for Graph Neural Network, Large Scale algorithm for Heterophilic Graphs
FDEA
Thesis
FDEA-ELSEVIER
JavaFXCodes
Basic, Event Handler, Multiple Scene, Animation
JavaFXNetworkAnimation
Java TCP networking, Two player animation, JavaFX, useful for network based gaming purpose in javafx
MOEAevaluation-plot
Performance Evalution and Visualization program
NGM-sentiment-analysis
Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Networks Using Graphs] (https://arxiv.org/abs/1703.04818) for binary Sentiment Analysis using the Large Movie Review Dataset. This is an optional project for a class in Advanced Algorithms and Parallel Programming
ThesisCode
Code Section
V2W-BERT
Software Vulnerabilities to Weakness Mapping
VWC-BERT
CVE to CWE to CAPEC
siddhartha047's Repositories
siddhartha047/AGS-GNN
Attribute-guided Sampling for Graph Neural Network, Large Scale algorithm for Heterophilic Graphs
siddhartha047/V2W-BERT
Software Vulnerabilities to Weakness Mapping
siddhartha047/VWC-BERT
CVE to CWE to CAPEC
siddhartha047/ACM-GNN
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
siddhartha047/attack_to_cve
A methodology for mapping MITRE ATT&CK techniques to vulnerability records to describe the impact of a vulnerability.
siddhartha047/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
siddhartha047/BERTtrain
BERT pretrain
siddhartha047/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
siddhartha047/DL
siddhartha047/DL4DisassortativeGraphs
Papers about developing DL methods on disassortative graphs
siddhartha047/Equivalence
Equivalence Between Structural Representations and Positional Node Embeddings
siddhartha047/GATEdgeConv
The graph attention operator that supports edge attributes
siddhartha047/Geom_GCN_pytorch_implementation
Geom_GCN re-implementation using only pytorch. ( Not using DGL)
siddhartha047/getpy
A Vectorized Python Dict/Set
siddhartha047/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
siddhartha047/GSSLEmbedding
siddhartha047/IGB-Datasets
Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards.
siddhartha047/interactive_tutorials
Repository for all ArangoDB interactive tutorial notebooks.
siddhartha047/Laplacians.jl
Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
siddhartha047/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
siddhartha047/Non-Homophily-Large-Scale
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
siddhartha047/OptimalLinkPrediction
This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, and Aaron Clauset. (arXiv:1909.07578)
siddhartha047/parallel-hashmap
A family of header-only, very fast and memory-friendly hashmap and btree containers.
siddhartha047/PMSpeciated
Analysis on PM2.5 Speciated data
siddhartha047/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
siddhartha047/pytorch_geometric_temporal
A Temporal Extension Library for PyTorch Geometric
siddhartha047/PytorchGeometricTutorial
Pytorch Geometric Tutorials
siddhartha047/snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
siddhartha047/transformer_finetuning_lightning
siddhartha047/VWBERT24
Vulnerability to Weakness mapping