Kangfei / LSSLinks
Released code for [sigmod'21] A learned Sketch for Subgraph Counting
☆21Updated 4 years ago
Alternatives and similar repositories for LSS
Users that are interested in LSS are comparing it to the libraries listed below
Sorting:
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆54Updated last year
- Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"☆18Updated last year
- FirmTruss Community Search in Multilayer Networks☆10Updated 3 years ago
- Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"☆12Updated last year
- In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo☆159Updated 2 years ago
- Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"☆37Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆274Updated 2 years ago
- The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.☆27Updated 2 years ago
- ☆27Updated 3 years ago
- ☆12Updated last year
- [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"☆32Updated last year
- FORA: Simple and Effective Approximate Single-Source Personalized Pagerank☆32Updated 4 years ago
- Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL, HYDRA, STUL)☆52Updated 2 years ago
- ☆45Updated 4 years ago
- ☆23Updated last year
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- Official github repository for the paper "Efficient Unsupervised Community Search with Pre-trained Graph Transformer"☆24Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- ☆123Updated 2 years ago
- An Empirical Evaluation of Temporal Graph Benchmark☆37Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- The source code of "A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction"☆14Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 6 months ago
- ☆216Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Updated 2 years ago
- The source code of HeCo☆168Updated 3 years ago
- ☆44Updated 3 years ago
- ☆138Updated 2 years ago
- ☆77Updated 3 years ago
- ☆138Updated 2 years ago