danielegrattarola / SRCLinks
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
☆62Updated 3 years ago
Alternatives and similar repositories for SRC
Users that are interested in SRC are comparing it to the libraries listed below
Sorting:
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 6 months ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Updated 3 years ago
- ☆155Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 3 months ago
- ☆62Updated 4 years ago
- A list for GNNs and related works.☆99Updated 3 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆96Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆159Updated last year
- ☆27Updated 8 months ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆264Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆114Updated last year
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 5 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆139Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 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
- Official Pytorch code for Structure-Aware Transformer.☆258Updated 2 years ago