frankuc's repositories

RpHGNN

Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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induen

Repo for detecting interrelated dense subgraphs in multilayer network (TKDE 2024)

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DeepHypergraph

A pytorch library for graph and hypergraph computation.

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Graph-Neural-Networks-With-Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

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HyNT

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers (KDD 2023)

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awesome-self-supervised-learning-for-tabular-data

A collection of research materials on SSL for tabular data

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GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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gbbs

GBBS: Graph Based Benchmark Suite

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KNiNe

kNN graph construction in Spark using LSH.

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SlimG

Code for paper "Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining" (KDD 2023)

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GAWD

Code for paper "GAWD: Graph Anomaly Detection in Directed Weighted Graph Databases" (ASONAM 2021)

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AutoAudit

Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)

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gen2Out

Code for paper "gen2Out: Detection and Ranking Generalized Anomalies" (Big Data 2021)

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InfoShield

Code for paper "InfoShield: Generalizable Information-Theoretic Human-Trafficking Detection" (ICDE 2021)

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pretrain-gnns

Strategies for Pre-training Graph Neural Networks

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Awesome-GNN4TS

Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

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ADMNC

Spark implementation of the Anomaly Detection with Mixed Numerical and Categorical inputs (ADMNC) algorithm

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algebird

Abstract Algebra for Scala

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GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

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datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

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SDM2023_Graph_Data_Augmentation_Tutorial

Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning

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