shenyangHuang / LADLinks
Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
☆29Updated 2 years ago
Alternatives and similar repositories for LAD
Users that are interested in LAD are comparing it to the libraries listed below
Sorting:
- tNodeEmbed☆79Updated 2 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆21Updated 4 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 4 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆28Updated 5 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆25Updated 5 years ago
- ☆12Updated 3 years ago
- This repository summarises the open source codes of our group☆27Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- Adaptive Propagation Graph Convolutional Network☆24Updated 5 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- ☆18Updated 4 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 10 months ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆44Updated 5 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 4 years ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- A collection of graph classification methods☆42Updated 5 years ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆78Updated 6 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated 2 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Updated 6 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 3 months ago
- Graph Imputation Neural Network☆79Updated 5 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 9 months ago
- ☆24Updated last year
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago