gospodima / Extended-SimGNN
A PyTorch Geometric implementation of SimGNN with some extensions.
☆58Updated last year
Alternatives and similar repositories for Extended-SimGNN:
Users that are interested in Extended-SimGNN are comparing it to the libraries listed below
- ☆52Updated 5 years ago
- ☆148Updated 5 years ago
- official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"☆27Updated last year
- Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"☆48Updated 3 years ago
- ☆94Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 4 years ago
- H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)☆59Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆73Updated 2 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆103Updated 3 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆122Updated 3 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆64Updated last year
- ☆62Updated 4 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆66Updated 2 years ago
- ☆18Updated 3 years ago
- ☆155Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆110Updated 6 months ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆61Updated 2 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆55Updated 3 years ago
- ☆47Updated 5 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".☆28Updated 2 years ago
- The official implementation of the SGCN architecture.☆62Updated 3 years ago