pith:6CCSBAYX
Aitchison Embeddings for Learning Compositional Graph Representations
Graph nodes represented as simplex compositions yield intrinsically interpretable embeddings that reflect archetype trade-offs and remain coherent under component restriction.
arxiv:2605.00716 v2 · 2026-05-01 · cs.LG · cs.SI
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Claims
Nodes are represented as simplex-valued compositions and embedded via isometric log-ratio (ILR) coordinates, which preserve Aitchison distances while enabling unconstrained optimization in Euclidean space. This yields intrinsically interpretable embeddings whose geometry reflects relative trade-offs among archetypes and supports coherent behavior under component restriction.
Many networks naturally admit a role-mixture view, where nodes are best described as mixtures over latent archetypal factors.
Graph nodes are embedded as simplex compositions via ILR coordinates to yield intrinsically interpretable representations that preserve Aitchison geometry and enable subcompositional analysis.
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| First computed | 2026-05-29T01:04:37.517623Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f08520831776a6e9fb6f9d9c533d825b862a4660f77c5f8f0cc1d32547bbc24b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CCSBAYXO2TOT63PTWOFGPMCLO \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f08520831776a6e9fb6f9d9c533d825b862a4660f77c5f8f0cc1d32547bbc24b
Canonical record JSON
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