jiyangbai / TaGSimLinks
☆12Updated last year
Alternatives and similar repositories for TaGSim
Users that are interested in TaGSim are comparing it to the libraries listed below
Sorting:
- Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"☆13Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 8 months ago
- Python 3 supported version for DySAT☆12Updated 2 years ago
- ☆123Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆33Updated 4 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆265Updated last year
- ☆139Updated 2 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- The source code of HeCo☆168Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆338Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 3 years ago
- The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.☆27Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆96Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 8 months ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆431Updated 5 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆119Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Updated 5 years ago
- A Unified Library for Deep Graph Clustering☆122Updated last month
- GraphSAGE and GAT for link prediction.☆93Updated 6 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 10 months ago
- Representation learning on dynamic graphs using self-attention networks☆306Updated 2 years ago
- ☆72Updated 3 years ago