ChengzhiPiao / GEDGNNLinks
The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.
☆27Updated 2 years ago
Alternatives and similar repositories for GEDGNN
Users that are interested in GEDGNN are comparing it to the libraries listed below
Sorting:
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆136Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- ☆125Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆182Updated 2 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- ☆50Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆47Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated 2 years ago
- ☆38Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 10 months ago
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆18Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆35Updated 4 years ago
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- The source code of HeCo☆171Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆90Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 2 years ago
- ☆139Updated 2 years ago
- ☆50Updated 3 years ago
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆88Updated 8 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆212Updated last year
- ☆33Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago