graphprojects / MetaHGLinks
Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”
☆13Updated 3 years ago
Alternatives and similar repositories for MetaHG
Users that are interested in MetaHG are comparing it to the libraries listed below
Sorting:
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆30Updated 4 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)☆130Updated 2 years ago
- Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.☆55Updated 4 years ago
- ☆57Updated last year
- ☆19Updated 2 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Updated 2 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- A collection of graph contrastive learning methods.☆18Updated 3 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- ☆19Updated 5 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- ☆12Updated 4 years ago
- Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.☆12Updated 4 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆92Updated 10 months ago
- ☆19Updated 3 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago