| Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck |
1 |
1 |
20 Feb 2025 |
not harvested |
| Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective |
1 |
1 |
4 Mar 2024 |
not harvested |
| An end-to-end attention-based approach for learning on graphs |
1 |
1 |
16 Feb 2024 |
not harvested |
| Graph isomorphism UNet |
1 |
1 |
23 Aug 2023 |
not harvested |
| Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity |
3 |
1 |
18 Aug 2023 |
ran 5 of 26 samples (21 unverified) |
| Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes |
0 |
1 |
13 Aug 2023 |
not harvested |
| CIN++: Enhancing Topological Message Passing |
1 |
1 |
6 Jun 2023 |
not harvested |
| Cell Attention Networks |
1 |
1 |
16 Sep 2022 |
ran 0 of 5 samples (5 unverified) |
| Pure Transformers are Powerful Graph Learners |
2 |
1 |
6 Jul 2022 |
ran 7 of 7 samples (0 unverified; 7 pointer-only for licence) |
| Recipe for a General, Powerful, Scalable Graph Transformer |
4 |
1 |
25 May 2022 |
ran 3 of 21 samples (18 unverified) |
| Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization |
0 |
1 |
6 Apr 2022 |
not harvested |
| A New Perspective on the Effects of Spectrum in Graph Neural Networks |
1 |
1 |
14 Dec 2021 |
ran 0 of 2 samples (2 unverified) |
| DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks |
1 |
1 |
11 Nov 2021 |
ran 0 of 3 samples (3 unverified) |
| Do Transformers Really Perform Bad for Graph Representation? |
5 |
1 |
9 Jun 2021 |
not harvested |
| How Attentive are Graph Attention Networks? |
8 |
1 |
30 May 2021 |
ran 6 of 16 samples (10 unverified; 1 pointer-only for licence) |
| Principal Neighbourhood Aggregation for Graph Nets |
8 |
1 |
12 Apr 2020 |
ran 33 of 55 samples (22 unverified; 48 pointer-only for licence) |
| ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations |
1 |
1 |
18 Nov 2019 |
not harvested |
| Hierarchical Graph Pooling with Structure Learning |
3 |
1 |
14 Nov 2019 |
not harvested |
| Provably Powerful Graph Networks |
2 |
1 |
27 May 2019 |
ran 0 of 8 samples (8 unverified) |
| Graph Convolutional Networks with EigenPooling |
1 |
1 |
30 Apr 2019 |
not harvested |
| Self-Attention Graph Pooling |
3 |
2 |
17 Apr 2019 |
not harvested |
| Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings |
1 |
1 |
2 Apr 2019 |
ran 0 of 1 samples (1 unverified; 1 pointer-only for licence) |
| Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity |
1 |
2 |
1 Apr 2019 |
not harvested |
| Subgraph Networks with Application to Structural Feature Space Expansion |
0 |
1 |
21 Mar 2019 |
not harvested |
| Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations |
0 |
1 |
22 Feb 2019 |
not harvested |
| Propagation kernels: efficient graph kernels from propagated information |
1 |
1 |
1 Feb 2019 |
not harvested |
| Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules |
1 |
1 |
23 Nov 2018 |
not harvested |
| Gaussian-Induced Convolution for Graphs |
0 |
1 |
11 Nov 2018 |
not harvested |
| How Powerful are Graph Neural Networks? |
19 |
1 |
1 Oct 2018 |
ran 3 of 10 samples (7 unverified; 5 pointer-only for licence) |
| When Work Matters: Transforming Classical Network Structures to Graph CNN |
0 |
1 |
7 Jul 2018 |
not harvested |