davidbuterez / gnn-neural-readoutsLinks
☆27Updated 8 months ago
Alternatives and similar repositories for gnn-neural-readouts
Users that are interested in gnn-neural-readouts are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆96Updated 3 years ago
- ☆155Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- ☆21Updated 4 years ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- ☆84Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆114Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 5 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 5 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆159Updated last year
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 3 months ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 3 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- ☆28Updated 4 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- ☆32Updated 2 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆44Updated 2 years ago
- ☆58Updated 3 years ago
- ☆55Updated 3 years ago
- ☆62Updated 4 years ago
- ☆61Updated 3 years ago