Large Scale Graph Data Mining - Latest Information & Updates 2026

Web Reference: Our mission is to build the most scalable library for graph algorithms and analysis and apply it to a multitude of Google products. We formalize data mining and machine learning challenges... Our team specializes in large-scale learning on graph-structured data. We push the boundary on scalability, efficiency, and flexibility of our methods, informed by the complex heterogeneous systems abundant in our real-world industrial setting. Oct 28, 2025 · We present ARCIS, an efficient algorithm for mining large independent sets on massive graphs. ARCIS couples two main components. The first is an adaptive restart policy that refreshes exploration when progress slows.

YouTube Excerpt: Speaker: Win Suen As the web grows ever

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Details: $89M - $122M

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Stanford Seminar - Data Mining Meets HCI: Making Sense of Large Graphs

Experience and Lessons for Large Scale Graph Analysis- Jason (Jinquan) Dai (Intel)

DATA MINING 1 Data Visualization 3 1 3 Graph Visualization

Data Mining Meets HCI: Making Sense of Large Graphs [1 of 5: Introduction]

Graphlab Workshop: Large-Scale Graph Clustering in MapReduce and Beyond

GraphSAC: Detecting anomalies on large-scale graphs

Machine Learning on Large-Scale Graphs

Big Graph Data Science

Introduction to PEGASUS, a Peta-Scale Graph Mining System

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Last Updated: April 4, 2026

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