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:
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- tNodeEmbed☆79Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 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
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- This repository summarises the open source codes of our group☆27Updated 3 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆25Updated 5 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆21Updated 3 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 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
- Adaptive Propagation Graph Convolutional Network☆23Updated 5 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 5 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 months ago
- my implement of my paper☆63Updated 4 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 9 months ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Updated 4 years ago
- ☆24Updated last year
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- ☆50Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- HDGI code☆63Updated 5 years ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆28Updated 4 years ago