This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
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Updated
Dec 4, 2017 - Python
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
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).
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
a Graph-based instance of DBLP
SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
Measuring the persistence of activity snippets in evolving networks (KDD '20)
[KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
Numpy and pyCUDA implementation of subKmeans
[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.
[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Introduction to KDD and data preprocessing / Introdução ao KDD e pré-processamento de dados
IDS using an Artificial Neural Network.
KDD Pipeline for DDoS Connections Data Classification
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