zexihuang / random-walk-embeddingLinks
A Broader Picture of Random-walk Based Graph Embedding
☆30Updated 4 years ago
Alternatives and similar repositories for random-walk-embedding
Users that are interested in random-walk-embedding are comparing it to the libraries listed below
Sorting:
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆62Updated 3 years ago
- Datasets-for-Heterogeneous-Graph☆133Updated 5 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- IJCAI2020☆20Updated 4 years ago
- The source code of HeCo☆166Updated 3 years ago
- ☆47Updated 11 months ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- HDGI code☆62Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 3 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 3 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 4 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆95Updated 2 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆76Updated 4 years ago
- ☆59Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- ☆33Updated 5 years ago
- ☆75Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- ☆45Updated 4 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆70Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆100Updated 2 years ago
- ☆57Updated 3 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 3 years ago
- KDD'22☆64Updated 2 years ago