<aside> 🖇️ Hello world! We talk about all aspects of graphs, GNNs, and graph + LLM systems, paper-first, discussion-driven.

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<aside> 📅 Weekly meet time: Saturday 11 am ET

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<aside> ⌨️ We coordinate using #dg-gnn on the AISC Slack.

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<aside> ✅ Format: One paper/topic every several week with rotation host

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Start here

This week

• Topic:
• Paper:
• Host:
• Notes:

How it works

• 10 min context → 50 min paper presentation and discussion
• Notes captured live

DG-Graph 2026 Topics

We organize the year into, but not limited to, three tracks. Each track contains recurring sub-themes.

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Graph Foundations

Principles for building, representing, and reasoning over graphs.

• Graph construction & reasoning
• Abstractions with graphs
• Temporal graph reasoning
• Graph representations
• World model × graphs </aside>

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Graph Neural Networks

Learning on graphs: architectures, inductive biases, and reliability.

• Core GNN methods and architecture
• Neural graph structure
• GNN & Causality </aside>

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Graphs and LLMs

Graphs as memory, control, and structure for LLMs/agents.

• KG for agent memory
• Graphs for LLM decoding
• Graphs for multi-agent collaboration
• Agent workflow graph & optimization </aside>

DG-Graph Schedule

Past Archive:

GNN Discussion Group 2025