(CIKM'21) Variational Graph Normalized Auto-Encoders
☆38Mar 8, 2022Updated 4 years ago
Alternatives and similar repositories for VGNAE
Users that are interested in VGNAE are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14May 2, 2020Updated 5 years ago
- Implementation for paper "Link Prediction on Heterophilic Graphs via Disentangled Representation Learning"☆13Aug 26, 2022Updated 3 years ago
- Graph Neural Convection-Diffusion with Heterophily☆11May 29, 2023Updated 2 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆34Mar 24, 2022Updated 3 years ago
- This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…☆36Mar 1, 2023Updated 3 years ago
- This is the public repo of the code from ReasonKGE☆16Sep 18, 2021Updated 4 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆20Apr 24, 2023Updated 2 years ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆18Mar 17, 2024Updated last year
- Codes for <Kernelized Bayesian Softmax for Text Generation> in NeurIPS 2019☆16Nov 20, 2019Updated 6 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Dec 6, 2019Updated 6 years ago
- [Pattern Recognition] An official code for paper "Graph Clustering Network with Structure Embedding Enhanced".☆23Aug 14, 2023Updated 2 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆25Jan 13, 2023Updated 3 years ago
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Apr 28, 2023Updated 2 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Jul 30, 2022Updated 3 years ago
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆21Nov 4, 2020Updated 5 years ago
- ☆23Apr 30, 2021Updated 4 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Nov 2, 2022Updated 3 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆25Apr 6, 2022Updated 3 years ago
- ☆27Mar 26, 2022Updated 3 years ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆23Oct 4, 2023Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Jul 6, 2023Updated 2 years ago
- Algorithms for local community detection in networks☆26Nov 23, 2016Updated 9 years ago
- A Pytorch implementation of GCMC model with Deep Graph Library (DGL). The user-item bipartite graph is built using dgl-heterogeneouss Gra…☆28Jul 12, 2021Updated 4 years ago
- ☆31Jan 29, 2024Updated 2 years ago
- [The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values☆42Mar 5, 2024Updated 2 years ago
- A Library for Fuzzy Logic and Fuzzy Systems☆10Jul 22, 2019Updated 6 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Jul 5, 2022Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆421Sep 20, 2021Updated 4 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆83Oct 23, 2019Updated 6 years ago
- Agnostic Mean estimation code for the paper "Agnostic Estimation of Mean and Covariance"☆14Jul 4, 2023Updated 2 years ago
- Sync Windows and Blue Yeti volume controls☆17Jun 8, 2025Updated 9 months ago
- Official PyTorch implementation of The Linear Attention Resurrection in Vision Transformer☆16Sep 7, 2024Updated last year
- ☆14Jan 23, 2026Updated last month
- Mental Health Application Based Upon The Hamilton Depression Rating Scale (HAM-D) Questionnaire.☆11Feb 4, 2019Updated 7 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Feb 7, 2019Updated 7 years ago
- Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding☆11May 23, 2024Updated last year