Alternatives and similar repositories for OpenTLP

Users that are interested in OpenTLP are comparing it to the libraries listed below

• YesLab-Code / HTGNN
  ☆55Updated 3 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆36Updated last year
• alge24 / DyGNN
  ☆60Updated 4 years ago
• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆60Updated last year
• D10Andy / SAD
  ☆29Updated last year
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆36Updated 5 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆91Updated 3 years ago
• zhengwang100 / ogc_ggcm
  Code for OGC and GGCM
  ☆14Updated 8 months ago
• johnny12150 / DySAT_python3
  Python 3 supported version for DySAT
  ☆12Updated 2 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆249Updated last year
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆70Updated 2 weeks ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆105Updated 3 years ago
• S-rz / THINE
  The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"
  ☆15Updated 2 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆120Updated 11 months ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆33Updated last year
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆27Updated 3 years ago
• snap-stanford / roland
  ☆134Updated last year
• skx300 / DyHATR
  DyHATR (ECML-PKDD 2020)
  ☆44Updated 4 years ago
• Tianxzzz / FreeDyG
  Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"
  ☆29Updated last year
• jhsk777 / SLADE
  This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
  ☆14Updated 10 months ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• NSSSJSS / MHGCN
  KDD'22
  ☆63Updated 2 years ago
• xkcd1838 / bench-DGNN
  ☆17Updated 3 years ago
• LogicJake / CTDNE
  Implementation of the CTDNE algorithm.
  ☆14Updated 6 years ago
• ki-ljl / GNNs-for-Link-Prediction
  Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…
  ☆63Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆59Updated 2 years ago