MuMiN is a misinformation graph dataset containing rich social media data (tweets, replies, users, images, articles, hashtags), spanning 21 million tweets belonging to 26 thousand Twitter threads, each
4 PAPERS • 3 BENCHMARKS
…Classification) Train/val/test: 1.2M/400k/400k Structure: Four vectors Dimension: 200 particles, 4 features/particle Smart Backgrounds (Classification) Train/val/test: 157k/39k/84k Structure: Decay Graph
1 PAPER • NO BENCHMARKS YET
Graph Neural Networks (GNNs) have gained traction across different domains such as transportation, bio-informatics, language processing, and computer vision.
…Given the lack of reliable ground truth data, we present SoMeSci - Software Mentions in Science - a gold standard knowledge graph of software mentions in scientific articles.
4 PAPERS • NO BENCHMARKS YET
…We create the puzzles to encompass a diverse array of mathematical and algorithmic topics such as boolean logic, combinatorics, graph theory, optimization, search, etc., aiming to evaluate the gap between
1 PAPER • 1 BENCHMARK
…Specifically, we propose a Hierarchical Graph Convolutional Network (Hier-GCN), where a lower-level GCN is to model the inner-relations among multiple categories, and the higher-level GCN is to capture
11 PAPERS • 1 BENCHMARK
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study File Descriptions File | Description --- | --- commit_categorizations.csv | Categorizations for the commits
2 PAPERS • NO BENCHMARKS YET
QALD-9-Plus Dataset Description QALD-9-Plus is the dataset for Knowledge Graph Question Answering (KGQA) based on well-known QALD-9.
…For example, in 'Results/Graph_season_TR_Duration.txt', the former eight columns are tie range and the latter eight columns are log interaction duration.
The Failure Mode Classification dataset released in the paper "MWO2KG and Echidna: Constructing and exploring knowledge graphs from maintenance data" by Stewart et al.
…Our method models both inter- and intra-dependencies between both hands and objects by learning the topology of a graph convolutional network that predicts interactions.
3 PAPERS • 1 BENCHMARK
…accompanied by a repository, where we provide a set of tools to aggregate codes samples based on user criteria and to transform code samples into token sequences, simplified parse trees and other code graphs
11 PAPERS • NO BENCHMARKS YET
…The datasets are generated by repurposing the Visual Genome scene graphs and region descriptions and applying handcrafted templates and GPT-3.
2 PAPERS • 1 BENCHMARK
…Moreover, all benchmarks are performed on four different triplestores: Blazegraph, GraphDB Free Edition, Apache Jena Fuseki, and OpenLink Virtuoso.
…Models trained with SourceData-NLP will furthermore enable the development of tools able to extract causal hypotheses from the literature and assemble them into knowledge graphs.
0 PAPER • NO BENCHMARKS YET
…They considered all triangles (3-cliques) in this graph to be faces of the simplcial complex. The Laplacian Ls 1 of the resulting complex has a two-dimensional harmonic space.
…The datasplits json files contain the indices (0-index) of the train, validation and test sets used in the paper "Equivariant Graph neural networks for fast electron density estimation of molecules, liquids
…Each scene has a unique room graph connecting multiple rooms, and unique placement of architectural features, such as windows, doors, and pillars¹1.
We introduce KnowledJe, an English-language knowledge graph of antisemitic history and language from the 20th century to the present.
…- National Library of Medicine. https://www.nlm.nih.gov/research/umls/index.html. (2) UMLS Metathesaurus Browser. https://uts.nlm.nih.gov/uts/umls/home. (3) GitHub - dongwookim-ml/kg-data: knowledge-graph
18 PAPERS • 1 BENCHMARK
…As the translation server pushes eCAR records to Kafka, a data analytics component integrates them into a graph data structure for analysis and visualization.
…KGs The KGs folder contains the knowledge graphs built on the IE_result. back_kg The back_kg contains the background KGs built up to a certain year. For each year, there are three files. Take 2012 as an example: * 2012.pkl contains the background knowledge graph up to (include) 2012.
…However, certain areas in QA remain quite challenging for modern approaches, including the multi-hop one, which is traditionally considered an intersection of graph methods, knowledge representation, and
…None None None None None [73285 rows x 21 columns] ``` The provided ACL id is consistent with S2 API as well - https://api.semanticscholar.org/graph/v1/paper/ACL:P83-1025 The API can be ACL citation graph ~~Enhance metadata with bib file mapping - include authors~~ ~~Add citation counts for papers~~ Use ForeCite to extract impactful keywords from the corpus Link datasets using paperswithcode
…Graph. 40, 4, Article 106 (August 2021), 19 pages. https://doi.org/10.1145/3450626.3459778 In particular, these files correspond to all the closed-loop examples in Table 1, with the exception that we
…Second is that we can use existing knowledge graphs, such as ConceptNet . To simplify the environment, the agents themselves are not actually moving, but the room is continuously changing.