pyrobits / DGClusterLinks
☆12Updated 9 months ago
Alternatives and similar repositories for DGCluster
Users that are interested in DGCluster are comparing it to the libraries listed below
Sorting:
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆83Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 2 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Updated 3 years ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆19Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- List of papers on NeurIPS2023☆90Updated 2 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆45Updated last week
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆49Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆40Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- A list for GNNs and related works.☆101Updated 4 months ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 6 months ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆24Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated 2 years ago
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆17Updated 2 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated 2 years ago
- ☆42Updated 3 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆22Updated last year
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 5 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- GLASS: GNN with Labeling Tricks for Subgraph Representation Learning☆30Updated 2 years ago