Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
A curated list of Heterophilous Graph Self-Supervised Learning papers.
Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"
[ICML 2024] SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
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