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Gabor Szarnyas szarnyasg @cwida @ldbc Amsterdam https://www.cwi.nl/people/gabor-szarnyas Graph processing and databases

GraphBLAS/GraphBLAS-Pointers 89

Resources on the GraphBLAS standard for graph algorithms in the language of linear algebra

ftsrg/codemodel-rifle 12

Graph-based incremental static analysis of ECMAScript 6 source code repositories

gaborbernat/ropi_jegyzet_latex 10

Rendszeroptimizálás

alippai/bank-sms-parser 6

OTP Hungary SMS parser via GMail

dice-group/triplestore-benchmarks 4

An Evaluation of Triplestore Benchmarks

atlarge-research/graphalytics-platforms-powergraph 3

Graphalytics implementation for PowerGraph

ftsrg/graph-metrics 3

BSc thesis work of Lehel Boer

ftsrg/ndp 3

Nagyhatékonyságú deklaratív programozás (VISZMB01) jegyzet

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issue openedldbc/ldbc_snb_docs

Are there publicly available LDBC SNB Interactive Worklad queries in Cypher or SPARQL?

Hi, in the The LDBC Social Network Benchmark: Interactive Workload paper from 2015, it is said that The base definition of the queries is in English, from the LDBC website[4](ldbcouncil.org/developer/snb) one can find query definitions in SPARQL, Cypher and SQL, as well as API reference implementations for neo4j and Sparksee. Did this claim become obsolete, ie. did the mentioned queries disappear from that website in the meantime? From what I understood until now it was up to the reader to write down queries for the graph databases that they targeted. Were there any efforts on the LDBC side or by the community to maintain queries expressed in popular graph query languages like Cypher or SPARQL? I assume it would involve reasonable effort as the SNB dataset schema evolves and eg there are new features being added to Cypher Query Language.

Best regards, Jakub

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Tim Davis

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CC for new API

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added triangle count to LAGraph2 API

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GAP pagerank to LAGraph2 API

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ditto

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pagerank for LAGraph2 API

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issue commentGraphBLAS/LAGraph

LAGraph_cc_fastsv defined in header but not .so-file

This is expected. All of those functions will be revised, and experimental ones get dropped as we go. The LAGraph.h is a very rough draft. The updated API is in LAGraph2.h, likely not in any docker image yet.

On Thu, Jan 14, 2021 at 6:44 AM Tobias Bergkvist notifications@github.com wrote:

It also seems like santize=true in LAGraph_cc_fastsv5b doesn't work.

GrB_Info LAGraph_cc_fastsv5b ( GrB_Vector *result, // output: array of component identifiers GrB_Matrix *A, // input matrix // content remains the same, but pointer changes bool sanitize // if true, ensure A is symmetric ) ;

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Evaluating Contextualized Language Models for Hungarian

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issue commentGraphBLAS/LAGraph

LAGraph_cc_fastsv defined in header but not .so-file

It also seems like santize=true in LAGraph_cc_fastsv5b doesn't work.

GrB_Info LAGraph_cc_fastsv5b (
    GrB_Vector *result,     // output: array of component identifiers
    GrB_Matrix *A,          // input matrix
                            //   content remains the same, but pointer changes
    bool sanitize           // if true, ensure A is symmetric
) ;
bergkvist

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issue openedGraphBLAS/LAGraph

LAGraph_cc_fastsv defined in header but not .so-file

In the header file I see:

$ cat LAGraph.h | grep fastsv

GrB_Info LAGraph_cc_fastsv (
GrB_Info LAGraph_cc_fastsv2 (
GrB_Info LAGraph_cc_fastsv3 (
GrB_Info LAGraph_cc_fastsv4 (
GrB_Info LAGraph_cc_fastsv5 (
GrB_Info LAGraph_cc_fastsv5a (
GrB_Info LAGraph_cc_fastsv5b (

But in the shared library only the last of these symbols are available:

$ nm -D liblagraph.so | grep fastsv

000000000001e250 T LAGraph_cc_fastsv5b

I'm using the latest tagged version (4Jan2021) from the docker image (https://hub.docker.com/r/graphblas/lagraph)

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issue commentftsrg/trainbenchmark

Migrate VIATRA solution to 2.x

Any there currently any plans on rerunning the benchmark again?

szarnyasg

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issue openedftsrg/trainbenchmark

Evaluate performance of Differential Datalog & Materialize

When you visit this benchmark again, I think it would be interesting to add Differential Datalog and Materialize to the list of tools you evaluate. They are new incremental query engines which seem to gain noticeable traction.

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GAP results for LAGraph2/BC

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LAGraph2: vertex betweenness-centrality

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BFS benchmark on hypersparse.cse.tamu.edu

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