Alternatives and similar repositories for TempME

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

• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆76Updated 3 months ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆256Updated last year
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆36Updated 2 years ago
• snap-stanford / roland
  ☆136Updated last year
• MGitHubL / Data4TGC
  ☆17Updated last month
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• YesLab-Code / HTGNN
  ☆57Updated 3 years ago
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆56Updated 9 months ago
• davidchouzdw / TagGen
  A Data-Driven Graph Generative Model for Temporal Interaction Networks
  ☆35Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆48Updated 9 months ago
• MGitHubL / Deep-Temporal-Graph-Clustering
  ☆50Updated last week
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆71Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆85Updated 9 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆146Updated 6 months ago
• CongWeilin / GraphMixer
  ☆100Updated last year
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆65Updated 2 years ago
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 8 months ago
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆26Updated 7 months ago
• liangzhehan / CMOD
  ☆23Updated 2 years ago
• ZijieH / CG-ODE
  ☆36Updated 3 years ago
• Emory-Melody / awesome-epidemic-modeling-papers
  [KDD 2024] Papers about deep learning in epidemic modeling.
  ☆60Updated 10 months ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆82Updated 8 months ago
• 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.
  ☆62Updated last year
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆63Updated last year
• D10Andy / SAD
  ☆30Updated 2 years ago
• aptx1231 / Awesome-Spatio-Temporal-Representation-Learning
  Summary of Spatio-Temporal Representation Learning Models.
  ☆75Updated 2 years ago
• S-rz / THINE
  The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"
  ☆15Updated 3 years ago
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆45Updated last year
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 2 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆63Updated 2 years ago