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It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

101
GitHub Stars
52
Curated Resources
16
Categories
2 hours ago
Last Refreshed
HeterophilyGraph TransformerSpectral/Polynomial GNNPolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial FiltersShape-aware Graph Spectral LearningText-attributed GraphEquivariant GNNsTheory, Weisfeiler & Leman goGDiffusion-based generationA Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural NetworksProteinsProteins,Crystals and Material GenerationCausalityAnomaly DetectionLLMMore Collectons:

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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

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What's inside

LLM

Proteins,Crystals and Material Generation

Heterophily

Anomaly Detection

Spectral/Polynomial GNN

Graph Transformer

Showing a sample of 52 resources. View the full list on GitHub →