KuroginQin / OpenTLPLinks
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
☆56Updated 8 months ago
Alternatives and similar repositories for OpenTLP
Users that are interested in OpenTLP are comparing it to the libraries listed below
Sorting:
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆254Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆63Updated last year
- ☆57Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- ☆61Updated 4 years ago
- An Empirical Evaluation of Temporal Graph Benchmark☆36Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆93Updated 3 years ago
- ☆80Updated 8 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆76Updated 2 months ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- Data repository for PyGOD☆43Updated last year
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆15Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆184Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆129Updated last year
- ☆136Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 3 years ago
- Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)☆22Updated 8 months ago
- ☆29Updated 2 years ago
- ☆329Updated last year
- Python 3 supported version for DySAT☆12Updated 2 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 5 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 8 months ago
- This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]☆14Updated last year
- A Survey of Learning from Graphs with Heterophily☆145Updated 5 months ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆62Updated 2 years ago