Skip to main content

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
16 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:

Use this list with your AI agent

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

"Show me robust angular synchronization via directed graph neural networks resources from awesome-graph-research-iclr2024"

Installation instructions →

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 →