| A Flexible Generative Framework for Graph-based Semi-supervised Learning | Jiaqi Ma · Weijing Tang · Ji Zhu · Qiaozhu Mei |
| Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling | Ming Hou · Jiajia Tang · Jianhai Zhang · Wanzeng Kong · Qibin Zhao |
| Diffusion Improves Graph Learning | Johannes Klicpera · Stefan Weißenberger · Stephan Günnemann |
| Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels | Simon Du · Kangcheng Hou · Russ Salakhutdinov · Barnabas Poczos · Ruosong Wang · Keyulu Xu |
| Hyperbolic Graph Convolutional Neural Networks | Ines Chami · Zhitao Ying · Christopher Ré · Jure Leskovec |
| Hyperbolic Graph Neural Networks | Qi Liu · Maximilian Nickel · Douwe Kiela |
| Implicitly learning to reason in first-order logic | Vaishak Belle · Brendan Juba |
| Learning Disentangled Representations for Recommendation | Jianxin Ma · Chang Zhou · Peng Cui · Hongxia Yang · Wenwu Zhu |
| Multi-relational Poincaré Graph Embeddings | Ivana Balazevic · Carl Allen · Timothy Hospedales |
| On the equivalence between graph isomorphism testing and function approximation with GNNs | Zhengdao Chen · Soledad Villar · Lei Chen · Joan Bruna |
| Probabilistic Logic Neural Networks for Reasoning | Meng Qu · Jian Tang |