A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

A wrapper of FRAUDAR algorithm

a Graph-based instance of DBLP

[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

[KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.

SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning

IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23

[KDD2025] Modeling Time-evolving Causality over Data Streams. https://dl.acm.org/doi/10.1145/3690624.3709283

[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".

Measuring the persistence of activity snippets in evolving networks (KDD '20)

Code repo for the paper "AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness", accepted to KDD '23.

Source code for Annotation-guided Protein Design with Multi-Level Domain Alignment. (KDD 2025)

Numpy and pyCUDA implementation of subKmeans

KDD Pipeline for DDoS Connections Data Classification

IDS using an Artificial Neural Network.