pnnl / SLiCELinks
Subgraph Based Learning of Contextual Embedding
☆29Updated 4 years ago
Alternatives and similar repositories for SLiCE
Users that are interested in SLiCE are comparing it to the libraries listed below
Sorting:
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆75Updated 3 years ago
- ☆35Updated 2 years ago
- Official Repo of SimTeG☆43Updated last year
- ☆132Updated 8 months ago
- Official implementation of Graph Neural Network Query Executor (ICML 2022)☆88Updated 2 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated 2 years ago
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆46Updated 3 years ago
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆31Updated 10 months ago
- Combining relational context and relational paths for knowledge graph completion☆137Updated 4 years ago
- A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf☆80Updated last year
- Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020☆41Updated 4 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆36Updated 3 years ago
- Simple yet SoTA Knowledge Graph Embeddings.☆110Updated 3 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- DRUM end to end differentiable rule mining on knowledge graphs☆54Updated 4 years ago
- Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆228Updated 2 years ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆60Updated 4 years ago
- kgTransformer: pre-training for reasoning over complex KG queries (KDD 22)☆86Updated last year
- Hierarchical Transformers for Knowledge Graph Embeddings (EMNLP 2021)☆83Updated last year
- ☆19Updated 3 years ago
- ☆128Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Updated 3 years ago
- ☆13Updated 4 years ago
- ☆24Updated 4 years ago
- InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)☆66Updated 7 months ago
- Evaluation of Methods for Temporal Knowledge Graph Forecasting☆36Updated last year
- Code for the paper "ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings" -- TextGraphs-17 @ ACL 2024☆24Updated last month
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Updated 3 years ago
- ☆34Updated 2 years ago