HKUST-KnowComp / NeuralSubgraphCountingLinks
Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"
☆53Updated last year
Alternatives and similar repositories for NeuralSubgraphCounting
Users that are interested in NeuralSubgraphCounting are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- A Broader Picture of Random-walk Based Graph Embedding☆30Updated 4 years ago
- ☆137Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆104Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- ☆216Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"☆18Updated 2 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- Datasets-for-Heterogeneous-Graph☆136Updated 6 years ago
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆241Updated 2 years ago
- ☆79Updated 3 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆136Updated last year
- ☆138Updated 2 years ago
- The source code of HeCo☆171Updated 3 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆337Updated 2 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Updated 4 years ago
- ☆133Updated 10 months ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 weeks ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆237Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆87Updated 7 months ago
- Released code for [sigmod'21] A learned Sketch for Subgraph Counting☆21Updated 4 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 4 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆203Updated 4 years ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆97Updated 4 years ago
- ☆59Updated 3 years ago