Alternatives and similar repositories for NSCaching

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

• LARS-research / AutoSF
  Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
  ☆69Updated last year
• JinheonBaek / GEN
  Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…
  ☆58Updated 4 years ago
• CDboyOne / IHGNN
  PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)
  ☆24Updated 3 years ago
• CheriseZhu / RSHN
  The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.
  ☆18Updated 4 years ago
• zetayue / CPA
  Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
  ☆17Updated last year
• kamigaito / ICML2022
  ☆9Updated 2 years ago
• uta-smile / HGCN
  ☆12Updated 4 years ago
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• ServiceNow / HypE
  Knowledge Hypergraphs: Prediction Beyond Binary Relations is a ServiceNow Research project that was started at Element AI.
  ☆33Updated 3 years ago
• BorealisAI / OOS-KGE
  PyTorch code of “Out-of-Sample Representation Learning for Multi-Relational Graphs” (EMNLP 2020)
  ☆10Updated 4 years ago
• zwt233 / AIR
  ☆4Updated 2 years ago
• squareRoot3 / FusedGW-Entity-Alignment
  "A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment" in ACL 2023
  ☆12Updated last year
• zjukg / EARL
  [Paper][AAAI2023] Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
  ☆13Updated 2 years ago
• junkangwu / DisenKGAT
  [CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"
  ☆57Updated 3 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆46Updated 4 years ago
• danyang-liu / AnchorKG
  ☆28Updated 2 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 4 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• YimiAChack / GraphSTONE
  An implementation of "Graph Structural-topic Neural Network"
  ☆72Updated 4 years ago
• Jeff20100601 / GHNN_clean
  ☆31Updated 5 years ago
• caojiangxia / BiGI
  [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization
  ☆76Updated 4 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆113Updated 4 years ago
• irokin / Link-Prediction-Experiment-Results
  A curated collection of SOTA algorithms on the link prediction task.
  ☆22Updated 5 years ago
• nec-research / TKG-Forecasting-Evaluation
  Evaluation of Methods for Temporal Knowledge Graph Forecasting
  ☆35Updated last year
• prokolyvakis / hyperkg
  HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
  ☆20Updated 2 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• alisadeghian / DRUM
  DRUM end to end differentiable rule mining on knowledge graphs
  ☆54Updated 4 years ago
• TemporalKGTeam / xERTE
  ☆49Updated 4 years ago
• YuWang-1024 / DSKReG
  ☆19Updated 2 years ago