yifan-h / PGELinks
A Representation Learning Framework for Property Graphs
☆11Updated 5 years ago
Alternatives and similar repositories for PGE
Users that are interested in PGE are comparing it to the libraries listed below
Sorting:
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- LEAP (Learning Edges by Aggregation of Paths)☆12Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- HDGI code☆62Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- [PAKDD2023] Improving Knowledge Graph Entity Alignment with Graph Augmentation☆11Updated last year
- The source will be uploaded recently☆11Updated 4 years ago
- A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)☆24Updated 4 years ago
- Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network☆29Updated 3 years ago
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Updated 2 years ago
- This repository summarises the open source codes of our group☆27Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated 11 months ago
- ☆19Updated 3 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆58Updated 4 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- ☆11Updated 4 years ago
- ☆54Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆74Updated 2 years ago
- ☆14Updated 2 years ago
- ☆35Updated 6 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 3 years ago
- ☆21Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- ☆16Updated 5 years ago