Alternatives and similar repositories for ReDKG

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

• aimclub / StableGNN
  Framework for autonomous learning of explainable graph neural networks
  ☆34Updated 6 months ago
• mkrzywda / GraphTransformers
  Sandbox to analysis and benchmarking Graph Transformer Neural Networks
  ☆35Updated 2 years ago
• owenonline / Knowledge-Graph-Reasoning-with-Self-supervised-Reinforcement-Learning
  Reinforcement learning (RL) is an effective method to find reasoning pathways in incomplete knowledge graphs (KGs). To overcome the chall…
  ☆19Updated 10 months ago
• yuwvandy / Large-Graph-Generative-Model
  ☆29Updated last year
• daiquocnguyen / GNN-NoGE
  Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)
  ☆60Updated 3 years ago
• RManLuo / ChatRule
  Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.
  ☆68Updated last year
• NSLab-CUK / Unified-Graph-Transformer
  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…
  ☆27Updated 3 weeks ago
• nec-research / TKG-Forecasting-Evaluation
  Evaluation of Methods for Temporal Knowledge Graph Forecasting
  ☆35Updated last year
• thiviyanT / IntelliGraphs
  IntelliGraphs is a collection of graph datasets for benchmarking generative models for knowledge graphs.
  ☆19Updated 5 months ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆89Updated last year
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated last year
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆62Updated 3 months ago
• yimingxu24 / CLDG
  CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)
  ☆26Updated 7 months ago
• radoslav11 / SP-MPNN
  Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
  ☆25Updated 2 years ago
• nju-websoft / KG-ICL
  A Knowledge Graph Foundation Model for Universal In-Context Reasoning, NeurIPS 2024
  ☆69Updated 4 months ago
• AdrianBZG / HyperBERT
  [EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
  ☆22Updated 4 months ago
• XiaoxinHe / tape_arxiv_2023
  ☆38Updated last year
• hamrel-cxu / Invertible-Graph-Neural-Network-iGNN
  Official code for the paper: Invertible Neural Network for Graph Prediction
  ☆9Updated 2 years ago
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆36Updated last year
• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆18Updated 2 years ago
• stil-mmo / time-series-generator
  ☆14Updated last year
• Orbifold / pyg-link-prediction
  Pytorch Geometric link prediction of a homogeneous social graph.
  ☆26Updated 2 years ago
• pykeen / ilpc2022
  🏅 KG Inductive Link Prediction Challenge (ILPC) 2022
  ☆85Updated 3 years ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆142Updated 6 months ago
• psanch21 / LCAT
  ☆20Updated 2 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 3 years ago
• kaize0409 / Awesome-Graph-OOD
  ☆79Updated 9 months ago
• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆71Updated last year
• kumo-ai / ContextGNN
  ☆33Updated 8 months ago
• aimclub / SAMPO
  Open-source framework for adaptive manufacturing processes scheduling
  ☆34Updated last week