Public-facing record of Samyama-related research publications. Manuscript sources, reviewer feedback, and submission timelines live in the private samyama-research repository.
# Title Venue Public link Status
1 Samyama: Unified Graph-Vector Database arxiv preprint → VLDB 2027 arxiv:2603.08036 Preprint published; v3 in preparation incorporating v1.0.0 + hero-run results (187.5M nodes / 1.29B edges / 99% pass, 2026-04-30) 3 Knowledge Graphs for Industrial Asset Operations NeurIPS 2026 E&D — In preparation 4 Open Biomedical Knowledge Graphs at Scale arxiv preprint → VLDB / ICDE 2027 arxiv:2603.15080 Preprint published; v2 ready (Drug Interactions KG, BiomedQA 98%) 5a Federated Biomedical KGs (Demo) GRADES-NDA @ SIGMOD 2026 — Submitted 5b Federated Biomedical KGs (In-Use) ISWC 2026 In-Use Track — Submitted 6 MCP Tools vs Text-to-Cypher aiDM @ SIGMOD 2026 — Submitted 7 Billion-Edge KG Federation on Commodity Hardware arxiv preprint → VLDB 2027 — In preparation 8 Graph-Grounded Optimization: Rao-Family Metaheuristics, Classical OR, and SLM-Driven Formulation over Knowledge Graphs arxiv preprint arxiv:2605.12204 Preprint published 2026-05-15 — VLDB 2027 Systems Paper VLDB 2027 Industry Track — In preparation (extends Paper 1)
Benchmark Papers Results Hardware
LDBC SNB Interactive (21/21) 1, VLDB All pass, SF1 Mac Mini M4 LDBC Graphalytics (28/28) 1, VLDB All pass, XS–S Mac Mini M4 LDBC FinBench (40/40) 1, VLDB All pass Mac Mini M4 AssetOpsBench (139 scenarios) 3, 6 MCP 99% · T2C 83% · GPT-4 65% Mac Mini M4 BiomedQA (40 questions) 4, 5, 6 MCP 98% · T2C 85% · GPT-4o 75% AWS g4dn.4xlarge Biomedical 100-query (74M nodes, 1B edges) 7, VLDB 96 / 100 pass AWS r6a.8xlarge Public Health 40-query (305K nodes) 7 40 / 40 pass MacBook Pro Cricket 100-query (37K nodes) 1 87 / 100 Mac Mini M4 Mega Benchmark (138M nodes, 1.22B edges, 11 KGs) 5b, 7, VLDB 500 / 500 pass AWS r7i.16xlarge Hero Run (187.5M nodes, 1.29B edges, 1000 queries) 7, VLDB 99% pass (~$1.85)AWS r7i-class spot (2026-04-30) Paper 8 demo suite (7 problems, 19.7K–7.78M nodes) 8 BMWR 4/7, Rao-1 2/7 wins; OR-tools 2–3× on linear/MILP Laptop / single-node