This repository contains a curated list of heterophilic graph self-supervised learning papers, which are categorized based on their published years.
Continuously updating!
| Paper Title | Venue | PDF Link | Code Link |
|---|---|---|---|
| Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization | ICLR 2023 | [PDF] | [Code] |
| Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating | AAAI 2023 | [PDF] | [Code] |
| Graph Contrastive Learning Under Heterophily: Utilizing Graph Filters to Generate Graph Views | ICLR 2023 (Submitted) | [PDF] | [Not Available] |
| Contrastive Learning under Heterophily | Arxiv 2023 | [PDF] | [Not Available] |
| Paper Title | Venue | PDF Link | Code Link |
|---|---|---|---|
| Unsupervised Network Embedding Beyond Homophily | TMLR 2022 | [PDF] | [Code] |
| RAW-GNN: RAndom Walk Aggregation based Graph Neural Network | IJCAI 2022 | [PDF] | [Not Available] |
| Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction | ICLR 2022 | [PDF] | [Code] |
| Decoupled Self-supervised Learning for Graphs | NIPS 2022 | [PDF] | [Not Available] |
| Towards Self-supervised Learning on Graphs with Heterophily | CIKM 2022 | [PDF] | [Code] |
| Graph Representation Learning Beyond Node and Homophily | TKDE 2022 | [PDF] | [Code] |
| Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph | Arxiv 2022 | [PDF] | [Code] |
| Link Prediction on Heterophilic Graphs via Disentangled Representation Learning | Arxiv 2022 | [PDF] | [Code] |
| Augmentation-Free Graph Contrastive Learning with Performance Guarantee | Arxiv 2022 | [PDF] | [Not Available] |
| Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach | Arxiv 2022 | [PDF] | [Not Available] |
| Paper Title | Venue | PDF Link | Code Link |
|---|---|---|---|
| How to find your friendly neighborhood: Graph attention design with self-supervision | ICLR 2021 | [PDF] | [Code] |
Heterophilic GNN (Survey)
| Paper Title | Venue | PDF Link | Code Link |
|---|---|---|---|
| Graph Neural Networks for Graphs with Heterophily: A Survey | Arxiv 2022 | [PDF] | [Not Available] |
Self-supervised Learning on Graph (Survey)
| Paper Title | Venue | PDF Link | Code Link |
|---|---|---|---|
| Graph Self-Supervised Learning: A Survey | TKDE 2022 | [PDF] | [Not Available] |
| Self-Supervised Learning of Graph Neural Networks: A Unified Review | TPAMI 2022 | [PDF] | [Not Available] |
| Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive | TKDE 2021 | [PDF] | [Not Available] |
| Self-supervised Learning on Graphs: Deep Insights and New Directions | Arxiv 2020 | [PDF] | [Code] |
Benchmark
| Paper Title | Venue | PDF Link | Code Link |
|---|---|---|---|
| A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress? | ICLR 2023 | [PDF] | [Code] |
| Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods | NIPS 2021 | [PDF] | [Code] |