Alternatives and similar repositories for meta_kge

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

• bdi-lab / DRAG
  Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)
  ☆25Updated 10 months ago
• bdi-lab / MonTi
  Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors (AAA…
  ☆14Updated 5 months ago
• bdi-lab / ReED
  PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning (ICML 2024)
  ☆17Updated 3 months ago
• bdi-lab / BiVE
  Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)
  ☆28Updated 3 months ago
• bdi-lab / HyNT
  Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers (KDD 2023)
  ☆33Updated 3 months ago
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆26Updated 3 years ago
• MGitHubL / Data4TGC
  ☆17Updated 2 months ago
• bdi-lab / VISTA
  VISTA: VIsual-Textual Knowledge Graph Representation Learning (Findings of EMNLP 2023)
  ☆27Updated 3 months ago
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• zhengwang100 / ogc_ggcm
  Code for OGC and GGCM
  ☆14Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆259Updated last year
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 4 years ago
• ICT-GIMLab / SeHGNN
  ☆116Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆48Updated last year
• W-rudder / TEA-GLM
  ☆43Updated 9 months ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆25Updated 7 months ago
• ivam-he / PSHGCN
  PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."
  ☆19Updated 8 months ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆127Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆132Updated last year
• Ninecl / DEKG-ILP
  The source code of Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction
  ☆11Updated 3 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆77Updated 4 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆148Updated 6 months ago
• XuanzhouLiu / D2Match-ICML23
  Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"
  ☆12Updated last year
• Newiz430 / Bandana
  [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths
  ☆12Updated last year
• pygod-team / data
  Data repository for PyGOD
  ☆43Updated last year
• bdi-lab / InGram
  InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)
  ☆60Updated 3 months ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆60Updated 9 months ago
• jhsk777 / SLADE
  This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
  ☆15Updated last year