aimclub / ReDKGLinks
Reinforcement learning on dynamic knowledge graphs
☆29Updated 10 months ago
Alternatives and similar repositories for ReDKG
Users that are interested in ReDKG are comparing it to the libraries listed below
Sorting:
- Framework for autonomous learning of explainable graph neural networks☆34Updated 9 months ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆64Updated 6 months ago
- Graph Transformers for Large Graphs☆22Updated last year
- Evaluation of Methods for Temporal Knowledge Graph Forecasting☆36Updated last year
- [EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs☆22Updated 7 months ago
- Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)☆60Updated 3 years ago
- ☆29Updated last year
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆76Updated 3 years ago
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆36Updated 2 years ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆18Updated 2 years ago
- Graph Optimiser for Learning and Evolution of Models☆70Updated 4 months ago
- A Knowledge Graph Foundation Model for Universal In-Context Reasoning, NeurIPS 2024☆72Updated 7 months ago
- Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.☆69Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆83Updated 2 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆18Updated 2 years ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated 4 months ago
- Reinforcement learning (RL) is an effective method to find reasoning pathways in incomplete knowledge graphs (KGs). To overcome the chall…☆22Updated last year
- Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP. 2023☆25Updated last year
- Framework for prototyping of LLM-based applications☆23Updated 3 weeks ago
- New structural distributional shifts for evaluating graph models☆15Updated 2 years ago
- ☆11Updated last year
- CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)☆28Updated 11 months ago
- ☆82Updated last year
- Dynamic Graph Benchmark☆85Updated 2 years ago
- Temporal Graph Analysis with TGX☆27Updated 6 months ago
- InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)☆66Updated 5 months ago
- A Python library for knowledge graph representation learning (graph embedding).☆39Updated last year
- Open-source framework for adaptive manufacturing processes scheduling☆34Updated this week
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated last year