LARS-research / NSCachingLinks
Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.
☆12Updated 4 years ago
Alternatives and similar repositories for NSCaching
Users that are interested in NSCaching are comparing it to the libraries listed below
Sorting:
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆59Updated 4 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- ☆38Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"☆10Updated 4 years ago
- Code for "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding" ICDE 2021☆11Updated 4 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Deep Multi-Graph Clustering via Attentive Cross-Graph Association☆25Updated 5 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated last year
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆114Updated 4 years ago
- PyTorch code of “Out-of-Sample Representation Learning for Multi-Relational Graphs” (EMNLP 2020)☆10Updated 5 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- ☆21Updated 2 years ago
- HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion☆20Updated 2 years ago
- ☆28Updated 2 years ago
- Deep active learning framework for link prediction in knowledge graph☆25Updated 5 years ago
- DRUM end to end differentiable rule mining on knowledge graphs☆55Updated 4 years ago
- Combining relational context and relational paths for knowledge graph completion☆137Updated 4 years ago
- [CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"☆58Updated 3 years ago
- Code and data for paper DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning (WSDM 2022)☆16Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs☆48Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago