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2112.13143
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GREED: A Neural Framework for Learning Graph Distance Functions
24 December 2021
Rishab Ranjan
Siddharth Grover
Sourav Medya
Venkatesan T. Chakaravarthy
Yogish Sabharwal
Sayan Ranu
GNN
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Papers citing
"GREED: A Neural Framework for Learning Graph Distance Functions"
16 / 16 papers shown
Title
Flexible Graph Similarity Computation With A Proactive Optimization Strategy
Zhouyang Liu
Ning Liu
Yixin Chen
Jiezhong He
Dongsheng Li
34
0
0
09 Apr 2025
Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis
Shoma Kudo
S. Kagiwada
Hitoshi Iyatomi
21
0
0
25 Dec 2024
Graph Edit Distance with General Costs Using Neural Set Divergence
Eeshaan Jain
Indradyumna Roy
Saswat Meher
Soumen Chakrabarti
A. De
32
3
0
26 Sep 2024
Design Requirements for Human-Centered Graph Neural Network Explanations
Pantea Habibi
Peyman Baghershahi
Sourav Medya
Debaleena Chattopadhyay
35
1
0
11 May 2024
Solving the Tree Containment Problem Using Graph Neural Networks
A. Dushatskiy
Esther Julien
Leen Stougie
L. Iersel
42
0
0
15 Apr 2024
EUGENE: Explainable Unsupervised Approximation of Graph Edit Distance with Generalized Edit Costs
Aditya Bommakanti
Harshith Reddy Vonteri
Sayan Ranu
Panagiotis Karras
27
0
0
08 Feb 2024
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation
Junfeng Liu
Min Zhou
Shuai Ma
Lujia Pan
31
9
0
04 Nov 2023
NeuroCUT: A Neural Approach for Robust Graph Partitioning
Rishi Shah
Krishnanshu Jain
S. Manchanda
Sourav Medya
Sayan Ranu
15
1
0
18 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
Mert Kosan
S. Verma
Burouj Armgaan
Khushbu Pahwa
Ambuj K. Singh
Sourav Medya
Sayan Ranu
29
13
0
03 Oct 2023
Graph Edit Distance Learning via Different Attention
Jiaxi Lv
L. Zhang
Yi Huang
Jiancheng Huang
Shifeng Chen
21
1
0
26 Aug 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Shubham Gupta
S. Manchanda
Sayan Ranu
Srikanta J. Bedathur
22
7
0
06 Jun 2023
A Survey on Explainability of Graph Neural Networks
Jaykumar Kakkad
Jaspal Jannu
Kartik Sharma
Charu C. Aggarwal
Sourav Medya
28
23
0
02 Jun 2023
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan
Zexi Huang
Sourav Medya
Sayan Ranu
Ambuj K. Singh
26
47
0
21 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures
Yatin Nandwani
Rishabh Ranjan
Mausam
Parag Singla
27
7
0
17 Oct 2022
Lifelong Learning for Neural powered Mixed Integer Programming
S. Manchanda
Sayan Ranu
CLL
25
1
0
24 Aug 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma
S. Verma
Sourav Medya
Arnab Bhattacharya
Sayan Ranu
AAML
21
8
0
25 Dec 2021
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