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Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich
  Platform for Graph Learning Benchmarks

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks

8 December 2022
Jiaqi Ma
Xingjian Zhang
Hezheng Fan
Jin Huang
Tianyue Li
Tinghong Li
Yiwen Tu
Chen Zhu
Qiaozhu Mei
ArXivPDFHTML

Papers citing "Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks"

11 / 11 papers shown
Title
DCA-Bench: A Benchmark for Dataset Curation Agents
DCA-Bench: A Benchmark for Dataset Curation Agents
Benhao Huang
Yingzhuo Yu
Jin Huang
Xingjian Zhang
Jiaqi Ma
28
1
0
11 Jun 2024
High Performance of Gradient Boosting in Binding Affinity Prediction
High Performance of Gradient Boosting in Binding Affinity Prediction
Dmitrii Gavrilev
Nurlybek Amangeldiuly
Sergei Ivanov
Evgeny Burnaev
AI4CE
25
2
0
14 May 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs
GraphWorld: Fake Graphs Bring Real Insights for GNNs
John Palowitch
Anton Tsitsulin
Brandon Mayer
Bryan Perozzi
GNN
183
68
0
28 Feb 2022
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
243
284
0
02 Feb 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
Sergei Ivanov
Liudmila Prokhorenkova
AI4CE
51
51
0
21 Jan 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and
  Structural Role-based Node Embeddings
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
Benedek Rozemberczki
Rik Sarkar
113
68
0
08 Jan 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
183
907
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
828
0
28 Sep 2019
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
159
1,748
0
02 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,801
0
25 Nov 2016
1