World-as-Graph: Relational World Modeling Through Latent Space Graphs
cs.LG, cs.CV
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/Scarlett-Yyq/World-as-Graph
Terminology
Sources
- Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- Relational inductive biases, deep learning, and graph networks
- Do We Really Need Complicated Model Architectures For Temporal Networks?
- World Models
- Conditional Object-Centric Learning from Video
- When Does LeJEPA Learn a World Model?
- Graph World Models: Concepts, Taxonomy, and Future Directions
- SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
- DINOv2: Learning Robust Visual Features without Supervision
- Sora as a World Model? A Complete Survey on Text-to-Video Generation
- Temporal Graph Networks for Deep Learning on Dynamic Graphs
- Understanding Rollout Error in Graph World Models
- Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning
- A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration
- SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
- Inductive Representation Learning on Temporal Graphs
- CLEVRER: CoLlision Events for Video REpresentation and Reasoning
- DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
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