ViktorAxelsen / TGSL
CIKM'23 Full/Long Paper: Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
☆19Updated last year
Alternatives and similar repositories for TGSL:
Users that are interested in TGSL are comparing it to the libraries listed below
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆12Updated 10 months ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆47Updated 3 years ago
- Implementation of the paper: "Anomaly Detection in Continuous-Time Temporal Provenance Graphs". The code follows the CTDG framework https…☆14Updated last year
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆36Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated 10 months ago
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆23Updated 9 months ago
- ☆29Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆45Updated 3 years ago
- ☆12Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆25Updated 2 years ago
- The source code of SpCo☆35Updated last year
- ☆37Updated 3 years ago
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆10Updated last year
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Updated 2 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆20Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- ☆28Updated last year
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆18Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆57Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆58Updated 2 years ago
- The pytorch implementation of DisenPOI.☆16Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆41Updated 4 months ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆41Updated last year
- The pytorch implementation of DCI (SIGIR2021).☆34Updated last year
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆53Updated last year
- TransGNN, SIGIR 2024☆45Updated 8 months ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆105Updated 4 months ago