Popular GitHub Repositories for Tkde

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)

This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)

offical implementation of TKDE paper "Deep isolation forest for anomaly detection"

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"

[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"

Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

[TKDE] Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis

[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".

[TKDE 2024, CIKM 2022] SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation.

Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)

TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf

Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"

[IEEE TKDE | TITS 2023] "Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling" | "Neural Airport Ground Handling"

Official Repository for "Adversarial Attack on Large Scale Graph." [TKDE 2021]

A Deep-learning-based context-aware recommendation system with two kinds of attention modules